Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network

Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan, Ajay Divakaran
Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors

Zhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu
Learning Graph-based Residual Aggregation Network for Group Activity Recognition

Wei Li, Tianzhao Yang, Xiao Wu, Zhaoquan Yuan
Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting

Yu Tian, Xingliang Huang, Ruigang Niu, Hongfeng Yu, Peijin Wang, Xian Sun
Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation

Jun Xia, Ting Wang, Jiepin Ding, Xian Wei, Mingsong Chen
Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies

Mikhail Kazdagli, Mohit Tiwari, Akshat Kumar
Hypergraph Structure Learning for Hypergraph Neural Networks

Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li
Entity Alignment with Reliable Path Reasoning and Relation-aware Heterogeneous Graph Transformer

Weishan Cai, Wenjun Ma, Jieyu Zhan, Yuncheng Jiang
Can Abnormality be Detected by Graph Neural Networks

Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, Weihao Jiang
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification

Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
Filtration-Enhanced Graph Transformation

Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang
Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure

Yifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li
Self-supervised Graph Neural Networks for Multi-behavior Recommendation

Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao
MERIT: Learning Multi-level Representations on Temporal Graphs

Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
GraphDIVE: Graph Classification by Mixture of Diverse Experts

Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
A Sparse-Motif Ensemble Graph Convolutional Network against Over-smoothing

Xuan Jiang, Zhiyong Yang, Peisong Wen, Li Su, Qingming Huang
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning

Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network

Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs

Hongwei Jin, Xun Chen
TGNN: A Joint Semi-supervised Framework for Graph-level Classification

Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
TiRGN: Time-Guided Recurrent Graph Network with Local-Global Historical Patterns for Temporal Knowledge Graph Reasoning

Yujia Li, Shiliang Sun, Jing Zhao
Raising the Bar in Graph-level Anomaly Detection

Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph
Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention

Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, Flora D. Salim
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network

Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, Lei Chen
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion

Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang
Augmenting Knowledge Graphs for Better Link Prediction

Jiang Wang, Filip Ilievski, Pedro A. Szekely, Ke-Thia Yao
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs

Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
Ensemble Multi-Relational Graph Neural Networks

Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu
Multi-Graph Fusion Networks for Urban Region Embedding

Shangbin Wu, Xu Yan, Xiaoliang Fan, Shirui Pan, Shichao Zhu, Chuanpan Zheng, Ming Cheng, Cheng Wang
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs

Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting

Hongyuan Yu, Ting Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang, Alex X. Liu
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction

Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun
GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning

Weiqi Zhang, Chen Zhang, Fugee Tsung
Enhancing Sequential Recommendation with Graph Contrastive Learning

Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao
Table2Graph: Transforming Tabular Data to Unified Weighted Graph

Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Spiking Graph Convolutional Networks

Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks

Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
Proximity Enhanced Graph Neural Networks with Channel Contrast

Wei Zhuo, Guang Tan
Personalized Federated Learning With a Graph

Fengwen Chen, Guodong Long, Zonghan Wu, Tianyi Zhou, Jing Jiang
Adversarial Explanations for Knowledge Graph Embeddings

Patrick Betz, Christian Meilicke, Heiner Stuckenschmidt
Multi-view Unsupervised Graph Representation Learning

Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach

Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng
Attributed Graph Clustering with Dual Redundancy Reduction

Lei Gong, Sihang Zhou, Wenxuan Tu, Xinwang Liu
Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks

Minyang Hu, Hong Chang, Bingpeng Ma, Shiguang Shan
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan
On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration

Di Jiang, Yuan Cao, Qiang Yang
Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search

Kun Jing, Jungang Xu, Pengfei Li
DyGRAIN: An Incremental Learning Framework for Dynamic Graphs

Seoyoon Kim, Seongjun Yun, Jaewoo Kang
SGAT: Simplicial Graph Attention Network

See Hian Lee, Feng Ji, Wee Peng Tay
Rethinking the Setting of Semi-supervised Learning on Graphs

Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang
Deep Graph Matching for Partial Label Learning

Gengyu Lyu, Yanan Wu, Songhe Feng
Escaping Feature Twist: A Variational Graph Auto-Encoder for Node Clustering

Nairouz Mrabah, Mohamed Bouguessa, Riadh Ksantini
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation

Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks

Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
Initializing Then Refining: A Simple Graph Attribute Imputation Network

Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng
EMGC²F: Efficient Multi-view Graph Clustering with Comprehensive Fusion

Danyang Wu, Jitao Lu, Feiping Nie, Rong Wang, Yuan Yuan
A Simple yet Effective Method for Graph Classification

Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu
Stabilizing and Enhancing Link Prediction through Deepened Graph Auto-Encoders

Xinxing Wu, Qiang Cheng
Information Augmentation for Few-shot Node Classification

Zongqian Wu, Peng Zhou, Guoqiu Wen, Yingying Wan, Junbo Ma, Debo Cheng, Xiaofeng Zhu
Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning

Yalan Ye, Tongjie Pan, Qianhe Meng, Jingjing Li, Li Lu
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport

Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian
Hierarchical Diffusion Scattering Graph Neural Network

Ke Zhang, Xinyan Pu, Jiaxing Li, Jiasong Wu, Huazhong Shu, Youyong Kong
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning

Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang
Subsequence-based Graph Routing Network for Capturing Multiple Risk Propagation Processes

Rui Cheng, Qing Li
Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network

Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction

Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting

Xuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang, Peng Han
Effective Graph Context Representation for Document-level Machine Translation

Kehai Chen, Muyun Yang, Masao Utiyama, Eiichiro Sumita, Rui Wang, Min Zhang
Interactive Information Extraction by Semantic Information Graph

Siqi Fan, Yequan Wang, Jing Li, Zheng Zhang, Shuo Shang, Peng Han
Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation

Wei Peng, Yue Hu, Luxi Xing, Yuqiang Xie, Yajing Sun, Yunpeng Li
Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning

Bowen Xing, Ivor W. Tsang
Contrastive Graph Transformer Network for Personality Detection

Yangfu Zhu, Linmei Hu, Xinkai Ge, Wanrong Peng, Bin Wu
Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture

Anoushka Vyas, Sambaran Bandyopadhyay
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective

Xin Liu, Mingyu Yan, Lei Deng, Guoqi Li, Xiaochun Ye, Dongrui Fan, Shirui Pan, Yuan Xie

ICML-2022

Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters

Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Convergence of Invariant Graph Networks

Chen Cai, Yusu Wang
Structure-Aware Transformer for Graph Representation Learning

Dexiong Chen, Leslie O'Bray, Karsten M. Borgwardt
Faster Fundamental Graph Algorithms via Learned Predictions

Justin Y. Chen, Sandeep Silwal, Ali Vakilian, Fred Zhang
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection

Wenchao Chen, Long Tian, Bo Chen, Liang Dai, Zhibin Duan, Mingyuan Zhou
Optimization-Induced Graph Implicit Nonlinear Diffusion

Qi Chen, Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers

Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tamás Sarlós, Adrian Weller, Thomas Weingarten
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs

Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen
SE(3) Equivariant Graph Neural Networks with Complete Local Frames

Weitao Du, He Zhang, Yuanqi Du, Qi Meng, Wei Chen, Nanning Zheng, Bin Shao, Tie-Yan Liu
pathGCN: Learning General Graph Spatial Operators from Paths

Moshe Eliasof, Eldad Haber, Eran Treister
p-Laplacian Based Graph Neural Networks

Guoji Fu, Peilin Zhao, Yatao Bian
On the Equivalence Between Temporal and Static Equivariant Graph Representations

Jianfei Gao, Bruno Ribeiro
Large-Scale Graph Neural Architecture Search

Chaoyu Guan, Xin Wang, Hong Chen, Ziwei Zhang, Wenwu Zhu
Understanding and Improving Knowledge Graph Embedding for Entity Alignment

Lingbing Guo, Qiang Zhang, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen
G-Mixup: Graph Data Augmentation for Graph Classification

Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks

Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu
Going Deeper into Permutation-Sensitive Graph Neural Networks

Zhongyu Huang, Yingheng Wang, Chaozhuo Li, Huiguang He
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation

David Ireland, Giovanni Montana
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations

Jaehyeong Jo, Seul Lee, Sung Ju Hwang
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning

Hidetaka Kamigaito, Katsuhiko Hayashi
Simultaneous Graph Signal Clustering and Graph Learning

Abdullah Karaaslanli, Selin Aviyente
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting

Shiyong Lan, Yitong Ma, Weikang Huang, Wenwu Wang, Hongyu Yang, Pyang Li
G2CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters

Mingjie Li, Xiaojun Guo, Yifei Wang, Yisen Wang, Zhouchen Lin
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling

Hongkang Li, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning

Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua
HousE: Knowledge Graph Embedding with Householder Parameterization

Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
Boosting Graph Structure Learning with Dummy Nodes

Xin Liu, Jiayang Cheng, Yangqiu Song, Xin Jiang
Local Augmentation for Graph Neural Networks

Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators

Karolis Martinkus, Andreas Loukas, Nathanaël Perraudin, Roger Wattenhofer
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism

Siqi Miao, Mia Liu, Pan Li
SpeqNets: Sparsity-aware permutation-equivariant graph networks

Christopher Morris, Gaurav Rattan, Sandra Kiefer, Siamak Ravanbakhsh
A Theoretical Comparison of Graph Neural Network Extensions

Pál András Papp, Roger Wattenhofer
Nonlinear Feature Diffusion on Hypergraphs

Konstantin Prokopchik, Austin R. Benson, Francesco Tudisco
Graph Neural Architecture Search Under Distribution Shifts

Yijian Qin, Xin Wang, Ziwei Zhang, Pengtao Xie, Wenwu Zhu
Graph-Coupled Oscillator Networks

T. Konstantin Rusch, Ben Chamberlain, James Rowbottom, Siddhartha Mishra, Michael M. Bronstein
Rethinking Graph Neural Networks for Anomaly Detection

Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li
Cross-Space Active Learning on Graph Convolutional Networks

Yufei Tao, Hao Wu, Shiyuan Deng
What Dense Graph Do You Need for Self-Attention

Yuxin Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
How Powerful are Spectral Graph Neural Networks

Xiyuan Wang, Muhan Zhang
Structural Entropy Guided Graph Hierarchical Pooling

Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning

Jun Xia, Lirong Wu, Ge Wang, Jintao Chen, Stan Z. Li
Self-Supervised Representation Learning via Latent Graph Prediction

Yaochen Xie, Zhao Xu, Shuiwang Ji
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing

Ping Xiong, Thomas Schnake, Grégoire Montavon, Klaus-Robert Müller, Shinichi Nakajima
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning

Ling Yang, Shenda Hong
A New Perspective on the Effects of Spectrum in Graph Neural Networks

Mingqi Yang, Yanming Shen, Rui Li, Heng Qi, Qiang Zhang, Baocai Yin
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks

Zhaoning Yu, Hongyang Gao
GraphFM: Improving Large-Scale GNN Training via Feature Momentum

Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji
Deep and Flexible Graph Neural Architecture Search

Wentao Zhang, Zheyu Lin, Yu Shen, Yang Li, Zhi Yang, Bin Cui
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning

Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui
Learning to Solve PDE-constrained Inverse Problems with Graph Networks

Qingqing Zhao, David B. Lindell, Gordon Wetzstein
Neural-Symbolic Models for Logical Queries on Knowledge Graphs

Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang

KDD-2022

Motif Prediction with Graph Neural Networks

Maciej Besta, Raphael Grob, Cesare Miglioli, Nicola Bernold, Grzegorz Kwasniewski, Gabriel Gjini, Raghavendra Kanakagiri, Saleh Ashkboos, Lukas Gianinazzi, Nikoli Dryden, Torsten Hoefler
Efficient Join Order Selection Learning with Graph-based Representation

Jin Chen, Guanyu Ye, Yan Zhao, Shuncheng Liu, Liwei Deng, Xu Chen, Rui Zhou, Kai Zheng
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation

Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
On Structural Explanation of Bias in Graph Neural Networks

Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks

Kaituo Feng, Changsheng Li, Ye Yuan, Guoren Wang
Meta-Learned Metrics over Multi-Evolution Temporal Graphs

Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He
Subset Node Anomaly Tracking over Large Dynamic Graphs

Xingzhi Guo, Baojian Zhou, Steven Skiena
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction

Liangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, Hui Xiong
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation

Huarui He, Jie Wang, Zhanqiu Zhang, Feng Wu
GraphMAE: Self-Supervised Masked Graph Autoencoders

Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang
Global Self-Attention as a Replacement for Graph Convolution

Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs

Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun
Detecting Cash-out Users via Dense Subgraphs

Yingsheng Ji, Zheng Zhang, Xinlei Tang, Jiachen Shen, Xi Zhang, Guangwen Yang
A Spectral Representation of Networks: The Path of Subgraphs

Shengmin Jin, Hao Tian, Jiayu Li, Reza Zafarani
Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
Condensing Graphs via One-Step Gradient Matching

Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks

Jian Kang, Qinghai Zhou, Hanghang Tong
CoRGi: Content-Rich Graph Neural Networks with Attention

Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zhang, Miltiadis Allamanis
FlowGEN: A Generative Model for Flow Graphs

Furkan Kocayusufoglu, Arlei Silva, Ambuj K. Singh
Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation

Danning Lao, Xinyu Yang, Qitian Wu, Junchi Yan
KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction

Han Li, Dan Zhao, Jianyang Zeng
Domain Adaptation in Physical Systems via Graph Kernel

Haoran Li, Hanghang Tong, Yang Weng
Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning

Rongfan Li, Ting Zhong, Xinke Jiang, Goce Trajcevski, Jin Wu, Fan Zhou
Graph Structural Attack by Perturbing Spectral Distance

Lu Lin, Ethan Blaser, Hongning Wang
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems

Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao
User-Event Graph Embedding Learning for Context-Aware Recommendation

Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming
Graph-in-Graph Network for Automatic Gene Ontology Description Generation

Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Adelaide Woicik, Sheng Wang
Joint Knowledge Graph Completion and Question Answering

Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong
RL2: A Call for Simultaneous Representation Learning and Rule Learning for Graph Streams

Qu Liu, Tingjian Ge
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries

Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang
UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs

Yang Liu, Xiang Ao, Fuli Feng, Qing He
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation

Bin Lu, Xiaoying Gan, Lina Yang, Weinan Zhang, Luoyi Fu, Xinbing Wang
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer

Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang
Learning Causal Effects on Hypergraphs

Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent J. Hecht, Jaime Teevan
Evaluating Knowledge Graph Accuracy Powered by Optimized Human-machine Collaboration

Yifan Qi, Weiguo Zheng, Liang Hong, Lei Zou
Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning

Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang
Graph-Flashback Network for Next Location Recommendation

Xuan Rao, Lisi Chen, Yong Liu, Shuo Shang, Bin Yao, Peng Han
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs

Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting

Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu
GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks

Weihao Song, Yushun Dong, Ninghao Liu, Jundong Li
Learning on Graphs with Out-of-Distribution Nodes

Yu Song, Donglin Wang
Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification

Zixing Song, Yifei Zhang, Irwin King
Causal Attention for Interpretable and Generalizable Graph Classification

Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua
GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks

Mingchen Sun, Kaixiong Zhou, Xin He, Ying Wang, Xin Wang
Streaming Graph Neural Networks with Generative Replay

Junshan Wang, Wenhao Zhu, Guojie Song, Liang Wang
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage

Yu Wang, Yuying Zhao, Yushun Dong, Huiyuan Chen, Jundong Li, Tyler Derr
Graph Neural Networks with Node-wise Architecture

Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding
Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction

Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation

Zhebin Wu, Lin Shu, Ziyue Xu, Yaomin Chang, Chuan Chen, Zibin Zheng
Self-Supervised Hypergraph Transformer for Recommender Systems

Lianghao Xia, Chao Huang, Chuxu Zhang
Ultrahyperbolic Knowledge Graph Embeddings

Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chengjin Xu, Shirui Pan, Chuan Zhou, Steffen Staab
Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach

Ge Yan, Yehui Tang, Junchi Yan
Enhancing Machine Learning Approaches for Graph Optimization Problems with Diversifying Graph Augmentation

Chen-Hsu Yang, Chih-Ya Shen
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation

Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation

Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting

Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, Hui Xiong
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder

Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang
ROLAND: Graph Learning Framework for Dynamic Graphs

Jiaxuan You, Tianyu Du, Jure Leskovec
Multiplex Heterogeneous Graph Convolutional Network

Pengyang Yu, Chaofan Fu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification

Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai
Variational Graph Author Topic Modeling

Delvin Ce Zhang, Hady Wirawan Lauw
Few-shot Heterogeneous Graph Learning via Cross-domain Knowledge Transfer

Qiannan Zhang, Xiaodong Wu, Qiang Yang, Chuxu Zhang, Xiangliang Zhang
Model Degradation Hinders Deep Graph Neural Networks

Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui
Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks

Yanfu Zhang, Shangqian Gao, Jian Pei, Heng Huang
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King
Instant Graph Neural Networks for Dynamic Graphs

Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang
How does Heterophily Impact the Robustness of Graph Neural Networks?: Theoretical Connections and Practical Implications

Jiong Zhu, Junchen Jin, Donald Loveland, Michael T. Schaub, Danai Koutra
Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding

Mohammad Amini, Zhanguang Zhang, Surya Penmetsa, Yingxue Zhang, Jianye Hao, Wulong Liu
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks

Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning

Junru Chen, Yang Yang, Tao Yu, Yingying Fan, Xiaolong Mo, Carl Yang
Physics-Guided Graph Meta Learning for Predicting Water Temperature and Streamflow in Stream Networks

Shengyu Chen, Jacob A. Zwart, Xiaowei Jia
AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks

Tianyi Chen, Charalampos E. Tsourakakis
Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning

Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong
Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning

Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong
Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series

Siho Han, Simon S. Woo
ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its Applications in Baidu Maps

Jizhou Huang, Haifeng Wang, Yibo Sun, Yunsheng Shi, Zhengjie Huang, An Zhuo, Shikun Feng
Graph Neural Network Training and Data Tiering

Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-Mei Hwu
GraphWorld: Fake Graphs Bring Real Insights for GNNs

John Palowitch, Anton Tsitsulin, Brandon Mayer, Bryan Perozzi
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads

Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
Friend Recommendations with Self-Rescaling Graph Neural Networks

Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
A Graph Learning Based Framework for Billion-Scale Offline User Identification

Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning

Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks

Zhiyuan Wang, Fan Zhou, Wenxuan Zeng, Goce Trajcevski, Chunjing Xiao, Yong Wang, Kai Chen
Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction

Haomin Wen, Youfang Lin, Xiaowei Mao, Fan Wu, Yiji Zhao, Haochen Wang, Jianbin Zheng, Lixia Wu, Haoyuan Hu, Huaiyu Wan
Graph Neural Networks for Multimodal Single-Cell Data Integration

Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator

Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph

Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang
Graph Attention Multi-Layer Perceptron

Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Heterogeneous Graphs

Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, George Karypis
Dynamic Graph Segmentation for Deep Graph Neural Networks

Johan Kok Zhi Kang, Suwei Yang, Suriya Venkatesan, Sien Yi Tan, Feng Cheng, Bingsheng He
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks

Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao

SIGIR-2022

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu
Hypergraph Contrastive Collaborative Filtering

Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang
Graph Trend Filtering Networks for Recommendation

Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering

Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer

Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao
DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph

Wenwen Gong, Xuyun Zhang, Yifei Chen, Qiang He, Amin Beheshti, Xiaolong Xu, Chao Yan, Lianyong Qi
Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing

Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu
Few-shot Node Classification on Attributed Networks with Graph Meta-learning

Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning

Weili Guan, Fangkai Jiao, Xuemeng Song, Haokun Wen, Chung-Hsing Yeh, Xiaojun Chang
KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums

Limeng Cui, Dongwon Lee
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations

Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras
Co-clustering Interactions via Attentive Hypergraph Neural Network

Tianchi Yang, Cheng Yang, Luhao Zhang, Chuan Shi, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang
Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction

Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective

Ying Zhou, Xuanang Chen, Ben He, Zheng Ye, Le Sun
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding

Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang Yuan, Changliang Xu, Huajun Chen
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning

Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang
Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation

Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan
Learning Graph-based Disentangled Representations for Next POI Recommendation

Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang
Less is More: Reweighting Important Spectral Graph Features for Recommendation

Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine
A Review-aware Graph Contrastive Learning Framework for Recommendation

Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li
Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation

Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, Quoc Viet Hung Nguyen
Knowledge Graph Contrastive Learning for Recommendation

Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification

Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen
An Attribute-Driven Mirror Graph Network for Session-based Recommendation

Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang, Aixin Sun
AutoGSR: Neural Architecture Search for Graph-based Session Recommendation

Jingfan Chen, Guanghui Zhu, Haojun Hou, Chunfeng Yuan, Yihua Huang
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders

Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher
Multi-modal Graph Contrastive Learning for Micro-video Recommendation

Zixuan Yi, Xi Wang, Iadh Ounis, Craig MacDonald
Adversarial Graph Perturbations for Recommendations at Scale

Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang
Graph Capsule Network with a Dual Adaptive Mechanism

Xiangping Zheng, Xun Liang, Bo Wu, Yuhui Guo, Xuan Zhang
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation

Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li
Distilling Knowledge on Text Graph for Social Media Attribute Inference

Quan Li, Xiaoting Li, Lingwei Chen, Dinghao Wu
DH-HGCN: Dual Homogeneity Hypergraph Convolutional Network for Multiple Social Recommendations

Jiadi Han, Qian Tao, Yufei Tang, Yuhan Xia
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment

Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park
GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection

Xu Chen, Qiu Qiu, Changshan Li, Kunqing Xie
DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction

Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei, Ming Zhang
An MLP-based Algorithm for Efficient Contrastive Graph Recommendations

Siwei Liu, Iadh Ounis, Craig Macdonald
Assessing Scientific Research Papers with Knowledge Graphs

Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara
MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization

Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang
LightSGCN: Powering Signed Graph Convolution Network for Link Sign Prediction with Simplified Architecture Design

Haoxin Liu
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network

Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi

NeurIPS-2022

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity.

Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs.

Seiji Maekawa, Koki Noda, Yuya Sasaki, Makoto Onizuka
Vision GNN: An Image is Worth Graph of Nodes.

Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu
Does GNN Pretraining Help Molecular Representation?

Ruoxi Sun, Hanjun Dai, Adams Wei Yu
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective.

Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs.

Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Lió, Michael M. Bronstein
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs.

Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro
MGNNI: Multiscale Graph Neural Networks with Implicit Layers.

Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis.

Jun Zeng, Mingyang Kou, Hailong Yao
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding.

Ruipeng Zhang, Chenning Yu, Jingkai Chen, Chuchu Fan, Sicun Gao
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries.

Fabrizio Frasca, Beatrice Bevilacqua, Michael M. Bronstein, Haggai Maron
A Practical, Progressively-Expressive GNN.

Lingxiao Zhao, Neil Shah, Leman Akoglu
PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery.

Yasmin Salehi, Dennis Giannacopoulos
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search.

Yijian Qin, Ziwei Zhang, Xin Wang, Zeyang Zhang, Wenwu Zhu
Decoupled Self-supervised Learning for Graphs.

Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs.

Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji
Revisiting Heterophily For Graph Neural Networks.

Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup
Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats.

Hongwei Jin, Zishun Yu, Xinhua Zhang
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative.

Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
GOOD: A Graph Out-of-Distribution Benchmark.

Shurui Gui, Xiner Li, Limei Wang, Shuiwang Ji
Not too little, not too much: a theoretical analysis of graph (over)smoothing.

Nicolas Keriven
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks.

Ching-Yao Chuang, Stefanie Jegelka
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum.

Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei
S3GC: Scalable Self-Supervised Graph Clustering.

Fnu Devvrit, Aditya Sinha, Inderjit S. Dhillon, Prateek Jain
Pseudo-Riemannian Graph Convolutional Networks.

Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems.

Abishek Thangamuthu, Gunjan Kumar, Suresh Bishnoi, Ravinder Bhattoo, N. M. Anoop Krishnan, Sayan Ranu
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy.

Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen
Redundancy-Free Message Passing for Graph Neural Networks.

Rongqin Chen, Shenghui Zhang, Leong Hou U, Ye Li
Association Graph Learning for Multi-Task Classification with Category Shifts.

Jiayi Shen, Zehao Xiao, Xiantong Zhen, Cees Snoek, Marcel Worring
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks.

Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
How Powerful are K-hop Message Passing Graph Neural Networks.

Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs.

Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture.

Libin Zhu, Chaoyue Liu, Misha Belkin
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.

Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
Geodesic Graph Neural Network for Efficient Graph Representation Learning.

Lecheng Kong, Yixin Chen, Muhan Zhang
High-Order Pooling for Graph Neural Networks with Tensor Decomposition.

Chenqing Hua, Guillaume Rabusseau, Jian Tang
Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift.

Zeyang Zhang, Xin Wang, Ziwei Zhang, Haoyang Li, Zhou Qin, Wenwu Zhu
GraphQNTK: Quantum Neural Tangent Kernel for Graph Data.

Yehui Tang, Junchi Yan
On the Robustness of Graph Neural Diffusion to Topology Perturbations.

Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay
Few-shot Relational Reasoning via Connection Subgraph Pretraining.

Qian Huang, Hongyu Ren, Jure Leskovec
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited.

Mingguo He, Zhewei Wei, Ji-Rong Wen
Evaluating Graph Generative Models with Contrastively Learned Features.

Hamed Shirzad, Kaveh Hassani, Danica J. Sutherland
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries.

Aryan Pedawi, Pawel Gniewek, Chaoyi Chang, Brandon M. Anderson, Henry van den Bedem
Are Defenses for Graph Neural Networks Robust?

Felix Mujkanovic, Simon Geisler, Stephan Günnemann, Aleksandar Bojchevski
Equivariant Graph Hierarchy-Based Neural Networks.

Jiaqi Han, Wenbing Huang, Tingyang Xu, Yu Rong
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination.

Yizhen Zheng, Shirui Pan, Vincent C. S. Lee, Yu Zheng, Philip S. Yu
Template based Graph Neural Network with Optimal Transport Distances.

Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks.

Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li
Learning Invariant Graph Representations for Out-of-Distribution Generalization.

Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu
Task-Agnostic Graph Explanations.

Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward W. Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
A Variational Edge Partition Model for Supervised Graph Representation Learning.

Yilin He, Chaojie Wang, Hao Zhang, Bo Chen, Mingyuan Zhou
CGLB: Benchmark Tasks for Continual Graph Learning.

Xikun Zhang, Dongjin Song, Dacheng Tao
What Makes Graph Neural Networks Miscalibrated?

Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers
Analyzing Data-Centric Properties for Graph Contrastive Learning.

Puja Trivedi, Ekdeep Singh Lubana, Mark Heimann, Danai Koutra, Jayaraman J. Thiagarajan
Learning Bipartite Graphs: Heavy Tails and Multiple Components.

José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel P. Palomar
Graph Self-supervised Learning with Accurate Discrepancy Learning.

Dongki Kim, Jinheon Baek, Sung Ju Hwang
Recipe for a General, Powerful, Scalable Graph Transformer.

Ladislav Rampásek, Michael Galkin, Vijay Prakash Dwivedi, Anh Tuan Luu, Guy Wolf, Dominique Beaini
Pure Transformers are Powerful Graph Learners.

Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
Periodic Graph Transformers for Crystal Material Property Prediction.

Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification.

Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning.

Hyunwook Kang, Taehwan Kwon, Jinkyoo Park, James R. Morrison
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs.

Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek F. Abdelzaher
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering.

Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Jianbin Huang
Neural Topological Ordering for Computation Graphs.

Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Will Zeng, Piero Zappi
Graph Learning Assisted Multi-Objective Integer Programming.

Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin
Exact Shape Correspondence via 2D graph convolution.

Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, Kaili Ma, Bo Han, Bo Li, James Cheng
SHINE: SubHypergraph Inductive Neural nEtwork.

Yuan Luo
Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks.

Yijing Liu, Qinxian Liu, Jian-Wei Zhang, Haozhe Feng, Zhongwei Wang, Zihan Zhou, Wei Chen
Graph Neural Networks with Adaptive Readouts.

David Buterez, Jon Paul Janet, Steven J. Kiddle, Dino Oglic, Pietro Liò
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games.

Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs.

Ming Jin, Yuan-Fang Li, Shirui Pan
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs.

Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro
Versatile Multi-stage Graph Neural Network for Circuit Representation.

Shuwen Yang, Zhihao Yang, Dong Li, Yingxue Zhang, Zhanguang Zhang, Guojie Song, Jianye Hao
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation.

Chunyu Wei, Jian Liang, Di Liu, Fei Wang
Graph Neural Networks are Dynamic Programmers.

Andrew Joseph Dudzik, Petar Velickovic
Ordered Subgraph Aggregation Networks.

Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert, Christopher Morris
Hierarchical Graph Transformer with Adaptive Node Sampling.

Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee
MGNNI: Multiscale Graph Neural Networks with Implicit Layers.

Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs.

Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
Long Range Graph Benchmark.

Vijay Prakash Dwivedi, Ladislav Rampásek, Michael Galkin, Ali Parviz, Guy Wolf, Anh Tuan Luu, Dominique Beaini
GREED: A Neural Framework for Learning Graph Distance Functions.

Rishabh Ranjan, Siddharth Grover, Sourav Medya, Venkatesan T. Chakaravarthy, Yogish Sabharwal, Sayan Ranu
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank.

Alessandro Epasto, Vahab Mirrokni, Bryan Perozzi, Anton Tsitsulin, Peilin Zhong
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection.

Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis
Contrastive Language-Image Pre-Training with Knowledge Graphs.

Xuran Pan, Tianzhu Ye, Dongchen Han, Shiji Song, Gao Huang
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions.

Masanobu Horie, Naoto Mitsume
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.

Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure.

Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
Non-Linear Coordination Graphs.

Yipeng Kang, Tonghan Wang, Qianlan Yang, Xiaoran Wu, Chongjie Zhang
CLEAR: Generative Counterfactual Explanations on Graphs.

Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li
Learning Physical Dynamics with Subequivariant Graph Neural Networks.

Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.

Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks.

Arian R. Jamasb, Ramón Viñas Torné, Eric Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom L. Blundell
Simplified Graph Convolution with Heterophily.

Sudhanshu Chanpuriya, Cameron Musco
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks.

Anders Aamand, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Ronitt Rubinfeld, Nicholas Schiefer, Sandeep Silwal, Tal Wagner
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks.

Minji Yoon, John Palowitch, Dustin Zelle, Ziniu Hu, Ruslan Salakhutdinov, Bryan Perozzi
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification.

Qitian Wu, Wentao Zhao, Zenan Li, David P. Wipf, Junchi Yan
Parameter-free Dynamic Graph Embedding for Link Prediction.

Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias.

Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li
Label-invariant Augmentation for Semi-Supervised Graph Classification.

Han Yue, Chunhui Zhang, Chuxu Zhang, Hongfu Liu
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks.

Chenxiao Yang, Qitian Wu, Junchi Yan
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network.

Ravinder Bhattoo, Sayan Ranu, N. M. Anoop Krishnan
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs.

Zenan Li, Qitian Wu, Fan Nie, Junchi Yan
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders.

Kiarash Zahirnia, Oliver Schulte, Parmis Nadaf, Ke Li
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries.

Fabrizio Frasca, Beatrice Bevilacqua, Michael M. Bronstein, Haggai Maron
Symmetry-induced Disentanglement on Graphs.

Giangiacomo Mercatali, André Freitas, Vikas Garg
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks.

Davide Buffelli, Pietro Lió, Fabio Vandin
Learning to Compare Nodes in Branch and Bound with Graph Neural Networks.

Abdel Ghani Labassi, Didier Chételat, Andrea Lodi
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations.

Ivan Marisca, Andrea Cini, Cesare Alippi
Robust Graph Structure Learning via Multiple Statistical Tests.

Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks.

Indradyumna Roy, Soumen Chakrabarti, Abir De
Provably expressive temporal graph networks.

Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg
Uncovering the Structural Fairness in Graph Contrastive Learning.

Ruijia Wang, Xiao Wang, Chuan Shi, Le Song
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs.

Arjun Subramonian, Kai-Wei Chang, Yizhou Sun
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks.

Yan Scholten, Jan Schuchardt, Simon Geisler, Aleksandar Bojchevski, Stephan Günnemann
Neural Approximation of Graph Topological Features.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.

Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li
Graph Neural Network Bandits.

Parnian Kassraie, Andreas Krause, Ilija Bogunovic
Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains.

Kiarash Shamsi, Friedhelm Victor, Murat Kantarcioglu, Yulia R. Gel, Cuneyt Gurcan Akcora
TwiBot-22: Towards Graph-Based Twitter Bot Detection.

Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang, Zilong Chen, Binchi Zhang, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo
Deep Generative Model for Periodic Graphs.

Shiyu Wang, Xiaojie Guo, Liang Zhao
PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery.

Yasmin Salehi, Dennis Giannacopoulos
Deep Bidirectional Language-Knowledge Graph Pretraining.

Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference.

Ran Ran, Wei Wang, Quan Gang, Jieming Yin, Nuo Xu, Wujie Wen
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks

Hongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P. Wipf
Graph Reordering for Cache-Efficient Near Neighbor Search.

Benjamin Coleman, Santiago Segarra, Alexander J. Smola, Anshumali Shrivastava
Graph Few-shot Learning with Task-specific Structures.

Song Wang, Chen Chen, Jundong Li
OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

CIKM-2022

KRAF: A Flexible Advertising Framework using Knowledge Graph-Enriched Multi-Agent Reinforcement Learning.

Jose A. Ayala-Romero, Péter Mernyei, Bichen Shi, Diego Mazón
Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation.

Xiaoyu Cai, Yao Fu, Hong Zhao, Weihao Jiang, Shiliang Pu
Towards Self-supervised Learning on Graphs with Heterophily.

Jingfan Chen, Guanghui Zhu, Yifan Qi, Chunfeng Yuan, Yihua Huang
GCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases.

Runjin Chen, Tong Li, Yanyan Shen, Luyu Qiu, Kaidi Li, Caleb Chen Cao
Explainable Link Prediction in Knowledge Hypergraphs.

Zirui Chen, Xin Wang, Chenxu Wang, Jianxin Li
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification.

Yoonhyuk Choi, Jiho Choi, Taewook Ko, Hyungho Byun, Chong-Kwon Kim
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities.

Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu
Higher-order Clustering and Pooling for Graph Neural Networks.

Alexandre Duval, Fragkiskos D. Malliaros
MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio.

Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search.

Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Qinghua Zheng, Jun Zhou, Minnan Luo
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction.

Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu
ITSM-GCN: Informative Training Sample Mining for Graph Convolutional Network-based Collaborative Filtering.

Kaiqi Gong, Xiao Song, Senzhang Wang, Songsong Liu, Yong Li
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.

Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation.

Jinkun Han, Wei Li, Zhipeng Cai, Yingshu Li
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs.

Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer
Discovering Fine-Grained Semantics in Knowledge Graph Relations.

Nitisha Jain, Ralf Krestel
Extracting Drug-drug Interactions from Biomedical Texts using Knowledge Graph Embeddings and Multi-focal Loss.

Xin Jin, Xia Sun, Jiacheng Chen, Richard F. E. Sutcliffe
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning.

Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong
Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs.

Endri Kacupaj, Kuldeep Singh, Maria Maleshkova, Jens Lehmann
SWAG-Net: Semantic Word-Aware Graph Network for Temporal Video Grounding.

Sunoh Kim, Taegil Ha, Kimin Yun, Jin Young Choi
Relational Self-Supervised Learning on Graphs.

Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park
Automated Spatio-Temporal Synchronous Modeling with Multiple Graphs for Traffic Prediction.

Fuxian Li, Huan Yan, Guangyin Jin, Yue Liu, Yong Li, Depeng Jin
MDGCF: Multi-Dependency Graph Collaborative Filtering with Neighborhood- and Homogeneous-level Dependencies.

Guohui Li, Zhiqiang Guo, Jianjun Li, Chaoyang Wang
Heterogeneous Graph Attention Network for Drug-Target Interaction Prediction.

Mei Li, Xiangrui Cai, Linyu Li, Sihan Xu, Hua Ji
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks.

Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li
Dynamic Network Embedding via Temporal Path Adjacency Matrix Factorization.

Zhuoming Li, Darong Lai
DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning.

Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin
Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization.

Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu
HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic.

Shuncheng Liu, Xu Chen, Ziniu Wu, Liwei Deng, Han Su, Kai Zheng
I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning.

Yang Liu, Zequn Sun, Guangyao Li, Wei Hu
Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios.

Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut
Are Gradients on Graph Structure Reliable in Gray-box Attacks?

Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li
HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations.

Sichun Luo, Xinyi Zhang, Yuanzhang Xiao, Linqi Song
DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model.

Changsheng Ma, Qiang Yang, Xin Gao, Xiangliang Zhang
Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting.

Yihong Ma, Patrick Gérard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla
Adaptive Re-Ranking with a Corpus Graph.

Sean MacAvaney, Nicola Tonellotto, Craig Macdonald
Automatic Meta-Path Discovery for Effective Graph-Based Recommendation.

Wentao Ning, Reynold Cheng, Jiajun Shen, Nur Al Hasan Haldar, Ben Kao, Xiao Yan, Nan Huo, Wai Kit Lam, Tian Li, Bo Tang
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation.

Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine
Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning.

Yiyue Qian, Yiming Zhang, Nitesh V. Chawla, Yanfang Ye, Chuxu Zhang
Reinforced Continual Learning for Graphs.

Appan Rakaraddi, Siew-Kei Lam, Mahardhika Pratama, Marcus de Carvalho
From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection.

Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction.

Huinan Sun, Guangliang Yu, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.

Li Sun, Junda Ye, Hao Peng, Philip S. Yu
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.

Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
Temporality- and Frequency-aware Graph Contrastive Learning for Temporal Network.

Shiyin Tan, Jingyi You, Dongyuan Li
Interpretable Emotion Analysis Based on Knowledge Graph and OCC Model.

Shuo Wang, Yifei Zhang, Bochen Lin, Boxun Li
AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training.

Yili Wang, Kaixiong Zhou, Rui Miao, Ninghao Liu, Xin Wang
Imbalanced Graph Classification via Graph-of-Graph Neural Networks.

Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
Dynamic Hypergraph Learning for Collaborative Filtering.

Chunyu Wei, Jian Liang, Bing Bai, Di Liu
Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding.

Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, Xiaofang Zhou
Taxonomy-Enhanced Graph Neural Networks.

Lingjun Xu, Shiyin Zhang, Guojie Song, Junshan Wang, Tianshu Wu, Guojun Liu
Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion.

Chaoqi Yang, Ruijie Wang, Shuochao Yao, Tarek F. Abdelzaher
GROWN+UP: A "Graph Representation Of a Webpage" Network Utilizing Pre-training.

Benedict Yeoh, Huijuan Wang
Scalable Graph Sampling on GPUs with Compressed Graph.

Hongbo Yin, Yingxia Shao, Xupeng Miao, Yawen Li, Bin Cui
The Interaction Graph Auto-encoder Network Based on Topology-aware for Transferable Recommendation.

Ruiyun Yu, Kang Yang, Bingyang Guo
Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating.

Tao Yu, Yao Fu, Linghui Hu, Huizhao Wang, Weihao Jiang, Shiliang Pu
LTE4G: Long-Tail Experts for Graph Neural Networks.

Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park
Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation.

Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion.

Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He
Handling RDF Streams: Harmonizing Subgraph Matching, Adaptive Incremental Maintenance, and Matching-free Updates Together.

Qianzhen Zhang, Deke Guo, Xiang Zhao, Lailong Luo
Contrastive Knowledge Graph Error Detection.

Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu
A Simple Meta-path-free Framework for Heterogeneous Network Embedding.

Rui Zhang, Arthur Zimek, Peter Schneider-Kamp
Two-Level Graph Path Reasoning for Conversational Recommendation with User Realistic Preference.

Rongmei Zhao, Shenggen Ju, Jian Peng, Ning Yang, Fanli Yan, Siyu Sun
MentorGNN: Deriving Curriculum for Pre-Training GNNs.

Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning.

Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia
Decoupled Hyperbolic Graph Attention Network for Modeling Substitutable and Complementary Item Relationships.

Zhiheng Zhou, Tao Wang, Linfang Hou, Xinyuan Zhou, Mian Ma, Zhuoye Ding
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation.

Jun Zhuang, Mohammad Al Hasan
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation.

Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue
Efficient and Effective SPARQL Autocompletion on Very Large Knowledge Graphs.

Hannah Bast, Johannes Kalmbach, Theresa Klumpp, Florian Kramer, Niklas Schnelle
Graph Neural Networks Pretraining Through Inherent Supervision for Molecular Property Prediction.

Roy Benjamin, Uriel Singer, Kira Radinsky
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction.

Yi Cao, Sihao Hu, Yu Gong, Zhao Li, Yazheng Yang, Qingwen Liu, Shouling Ji
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps.

Jizhou Huang, Zhengjie Huang, Xiaomin Fang, Shikun Feng, Xuyi Chen, Jiaxiang Liu, Haitao Yuan, Haifeng Wang
PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation.

Dandan Lin, Shijie Sun, Jingtao Ding, Xuehan Ke, Hao Gu, Xing Huang, Chonggang Song, Xuri Zhang, Lingling Yi, Jie Wen, Chuan Chen
BRIGHT - Graph Neural Networks in Real-time Fraud Detection.

Mingxuan Lu, Zhichao Han, Susie Xi Rao, Zitao Zhang, Yang Zhao, Yinan Shan, Ramesh Raghunathan, Ce Zhang, Jiawei Jiang
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction.

Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang
Graph-based Weakly Supervised Framework for Semantic Relevance Learning in E-commerce.

Zhiyuan Zeng, Yuzhi Huang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng
Cross-Domain Product Search with Knowledge Graph.

Rui Zhu, Yiming Zhao, Wei Qu, Zhongyi Liu, Chenliang Li
Interpretability of BERT Latent Space through Knowledge Graphs.

Vito Walter Anelli, Giovanni Maria Biancofiore, Alessandro De Bellis, Tommaso Di Noia, Eugenio Di Sciascio
CS-MLGCN: Multiplex Graph Convolutional Networks for Community Search in Multiplex Networks.

Ali Behrouz, Farnoosh Hashemi
Scalable Graph Representation Learning via Locality-Sensitive Hashing.

Xiusi Chen, Jyun-Yu Jiang, Wei Wang
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs.

Hejie Cui, Zijie Lu, Pan Li, Carl Yang
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting.

Aosong Feng, Leandros Tassiulas
Subspace Co-clustering with Two-Way Graph Convolution.

Chakib Fettal, Lazhar Labiod, Mohamed Nadif
OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network.

Hui Han, Tianyu Zhao, Cheng Yang, Hongyi Zhang, Yaoqi Liu, Xiao Wang, Chuan Shi
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query.

Zepeng Huai, Zhe Wang, Yifan Zhu, Peng Zhang
LGP: Few-Shot Class-Evolutionary Learning on Dynamic Graphs.

Tiancheng Huang, Feng Zhao, Donglin Wang
RealGraphGPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis.

Myung-Hwan Jang, Yun-Yong Ko, Dongkyu Jeong, Jeong-Min Park, Sang-Wook Kim
GReS: Graphical Cross-domain Recommendation for Supply Chain Platform.

Zhiwen Jing, Ziliang Zhao, Yang Feng, Xiaochen Ma, Nan Wu, Shengqiao Kang, Cheng Yang, Yujia Zhang, Hao Guo
Commonsense Knowledge Base Completion with Relational Graph Attention Network and Pre-trained Language Model.

Jinhao Ju, Deqing Yang, Jingping Liu
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs.

Dongkwan Kim, Jiho Jin, Jaimeen Ahn, Alice Oh
Bootstrapped Knowledge Graph Embedding based on Neighbor Expansion.

Jun Seon Kim, Seong-Jin Ahn, Myoung Ho Kim
Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems.

Minseok Kim, Jinoh Oh, Jaeyoung Do, Sungjin Lee
Dual-Augment Graph Neural Network for Fraud Detection.

Qiutong Li, Yanshen He, Cong Xu, Feng Wu, Jianliang Gao, Zhao Li
SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction.

Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang
Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility.

Yongkang Li, Zipei Fan, Jixiao Zhang, Dengheng Shi, Tianqi Xu, Du Yin, Jinliang Deng, Xuan Song
Embedding Global and Local Influences for Dynamic Graphs.

Meng Liu, Jiaming Wu, Yong Liu
Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting.

Xiangyue Liu, Xinqi Lyu, Xiangchi Zhang, Jianliang Gao, Jiamin Chen
Sampling Enclosing Subgraphs for Link Prediction.

Paul Louis, Shweta Ann Jacob, Amirali Salehi-Abari
Urban Region Profiling via Multi-Graph Representation Learning.

Yan Luo, Fu-Lai Chung, Kai Chen
Improving Graph-based Document-Level Relation Extraction Model with Novel Graph Structure.

Seongsik Park, Dongkeun Yoon, Harksoo Kim
GRETEL: Graph Counterfactual Explanation Evaluation Framework.

Mario Alfonso Prado-Romero, Giovanni Stilo
Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling.

Erasmo Purificato, Ludovico Boratto, Ernesto William De Luca
Explainable Graph-based Fraud Detection via Neural Meta-graph Search.

Zidi Qin, Yang Liu, Qing He, Xiang Ao
A Model-Centric Explainer for Graph Neural Network based Node Classification.

Sayan Saha, Monidipa Das, Sanghamitra Bandyopadhyay
A Graph-based Spatiotemporal Model for Energy Markets.

Swati Sharma, Srinivasan Iyengar, Shun Zheng, Kshitij Kapoor, Wei Cao, Jiang Bian, Shivkumar Kalyanaraman, John Lemmon
ST-GAT: A Spatio-Temporal Graph Attention Network for Accurate Traffic Speed Prediction.

Junho Song, Jiwon Son, Dong-hyuk Seo, Kyungsik Han, Namhyuk Kim, Sang-Wook Kim
Multi-Aspect Embedding of Dynamic Graphs.

Aimin Sun, Zhiguo Gong
Leveraging the Graph Structure of Neural Network Training Dynamics.

Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra
Efficiently Answering Minimum Reachable Label Set Queries in Edge-Labeled Graphs.

Yanping Wu, Renjie Sun, Chen Chen, Xiaoyang Wang, Xianming Fu
Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty.

Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao
An Enhanced Gated Graph Neural Network for E-commerce Recommendation.

Jihai Zhang, Fangquan Lin, Cheng Yang, Ziqiang Cui
Graph Representation Learning via Adaptive Multi-layer Neighborhood Diffusion Contrast.

Jijie Zhang, Yan Yang, Yong Liu, Meng Han, Shaowei Yin
Deep Contrastive Multiview Network Embedding.

Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang
SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation.

Zhenning Zhang, Boxin Du, Hanghang Tong
KSG: Knowledge and Skill Graph.

Feng Zhao, Ziqi Zhang, Donglin Wang
Spherical Graph Embedding for Item Retrieval in Recommendation System.

Wenqiao Zhu, Yesheng Xu, Xin Huang, Qiyang Min, Xun Zhou
GALGO: Scalable Graph Analytics with a Parallel DBMS.

Wellington Cabrera, Xiantian Zhou, Ladjel Bellatreche, Carlos Ordonez
DASH: An Agile Knowledge Graph System Disentangling Demands, Algorithms, Data Resources, and Humans.

Shaowei Chen, Haoran Wang, Jie Liu, Jiahui Wu
A GPU-based Graph Pattern Mining System.

Lin Hu, Lei Zou
Flurry: A Fast Framework for Provenance Graph Generation for Representation Learning.

Maya Kapoor, Joshua Melton, Michael Ridenhour, Thomas Moyer, Siddharth Krishnan
Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration.

Yuxiang Wang, Arijit Khan, Xiaoliang Xu, Shuzhan Ye, Shihuang Pan, Yuhan Zhou
gCBO: A Cost-based Optimizer for Graph Databases.

Linglin Yang, Lei Yang, Yue Pang, Lei Zou
ExeKG: Executable Knowledge Graph System for User-friendly Data Analytics.

Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov
ScheRe: Schema Reshaping for Enhancing Knowledge Graph Construction.

Dongzhuoran Zhou, Baifan Zhou, Zhuoxun Zheng, Ahmet Soylu, Ognjen Savkovic, Egor V. Kostylev, Evgeny Kharlamov
Fifty Shades of Pink: Understanding Color in e-commerce using Knowledge Graphs.

Lizzie Liang, Sneha Kamath, Petar Ristoski, Qunzhi Zhou, Zhe Wu
Shoe Size Resolution in Search Queries and Product Listings using Knowledge Graphs.

Petar Ristoski, Aritra Mandal, Simon Becker, Anu Mandalam, Ethan Hart, Sanjika Hewavitharana, Zhe Wu, Qunzhi Zhou
Geographical Address Models in the Indian e-Commerce.

Ravindra Babu Tallamraju
Executable Knowledge Graph for Transparent Machine Learning in Welding Monitoring at Bosch.

Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou, Ahmet Soylu, Evgeny Kharlamov
Causal Relationship over Knowledge Graphs.

Hao Huang
Graph-based Management and Mining of Blockchain Data.

Arijit Khan, Cuneyt Gurcan Akcora
Mining of Real-world Hypergraphs: Patterns, Tools, and Generators.

Geon Lee, Jaemin Yoo, Kijung Shin
TrustLOG: The First Workshop on Trustworthy Learning on Graphs.

Jian Kang, Shuaicheng Zhang, Bo Li, Jingrui He, Jian Pei, Dawei Zhou
The 1st International Workshop on Federated Learning with Graph Data (FedGraph).

Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr

AAAI-2022

SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds

Qingdong He, Zhengning Wang, Hao Zeng, Yi Zeng, Yijun Liu
Graph-Based Point Tracker for 3D Object Tracking in Point Clouds

Minseong Park, Hongje Seong, Wonje Jang, Euntai Kim
Learning to Detect 3D Facial Landmarks via Heatmap Regression with Graph Convolutional Network

Yuan Wang, Min Cao, Zhenfeng Fan, Silong Peng
Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation

Xixia Xu, Qi Zou, Xue Lin
ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization

Zichen Yang, Jie Qin, Di Huang
Hybrid Graph Neural Networks for Few-Shot Learning

Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning

Wenqiao Zhang, Haochen Shi, Jiannan Guo, Shengyu Zhang, Qingpeng Cai, Juncheng Li, Sihui Luo, Yueting Zhuang
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations

Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
Differentially Describing Groups of Graphs

Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken
Molecular Contrastive Learning with Chemical Element Knowledge Graph

Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen
Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers

Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo
Orthogonal Graph Neural Networks

Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks

Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang
Block Modeling-Guided Graph Convolutional Neural Networks

Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs

Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp
A Self-Supervised Mixed-Curvature Graph Neural Network

Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu
Graph Structure Learning with Variational Information Bottleneck

Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
Exploring Relational Semantics for Inductive Knowledge Graph Completion

Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting

Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily

Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang
CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing

Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau
Unsupervised Adversarially Robust Representation Learning on Graphs

Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs

Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing

Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao
Multi-Scale Distillation from Multiple Graph Neural Networks

Chunhai Zhang, Jie Liu, Kai Dang, Wenzheng Zhang
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks

Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou
Multi-View Intent Disentangle Graph Networks for Bundle Recommendation

Sen Zhao, Wei Wei, Ding Zou, Xianling Mao
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision

Jun Zhuang, Mohammad Al Hasan
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction

Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong
Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs

Chang Lu, Tian Han, Yue Ning
DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media

Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma
RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning

Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin
ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations

Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong, Xiangtao Li
Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction

Guoliang Zhao, Yuxun Zhou, Zhanbo Xu, Yadong Zhou, Jiang Wu
ER: Equivariance Regularizer for Knowledge Graph Completion

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Geometry Interaction Knowledge Graph Embeddings

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network

Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View

Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection

Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu
TempoQR: Temporal Question Reasoning over Knowledge Graphs

Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip R. Howard, Tetiana Grinberg, Nagib Hakim, George Karypis
Learning to Walk with Dual Agents for Knowledge Graph Reasoning

Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong
Beyond GNNs: An Efficient Architecture for Graph Problems

Pranjal Awasthi, Abhimanyu Das, Sreenivas Gollapudi
Graph Neural Controlled Differential Equations for Traffic Forecasting

Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park
Graph-Wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning

Thilini Cooray, Ngai-Man Cheung
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning

Kaize Ding, Jianling Wang, James Caverlee, Huan Liu
Disentangled Spatiotemporal Graph Generative Models

Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples

Wei Duan, Junyu Xuan, Maoying Qiao, Jie Lu
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels

Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks

Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs

Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu
Cross-Domain Few-Shot Graph Classification

Kaveh Hassani
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data

Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr
Fast Graph Neural Tangent Kernel via Kronecker Sketching

Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo
Adaptive Kernel Graph Neural Network

Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao
Directed Graph Auto-Encoders

Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie C. Lozano, Naoki Abe
Augmentation-Free Self-Supervised Learning on Graphs

Namkyeong Lee, Junseok Lee, Chanyoung Park
Robust Graph-Based Multi-View Clustering

Weixuan Liang, Xinwang Liu, Sihang Zhou, Jiyuan Liu, Siwei Wang, En Zhu
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations

Li-Chung Lin, Cheng-Hung Liu, Chih-Ming Chen, Kai-Chin Hsu, I-Feng Wu, Ming-Feng Tsai, Chih-Jen Lin
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching

Xin Liu, Yangqiu Song
Deep Graph Clustering via Dual Correlation Reduction

Yue Liu, Wenxuan Tu, Sihang Zhou, Xinwang Liu, Linxuan Song, Xihong Yang, En Zhu
fGOT: Graph Distances Based on Filters and Optimal Transport

Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
Temporal Knowledge Graph Completion Using Box Embeddings

Johannes Messner, Ralph Abboud, Ismail Ilkan Ceylan
Simple Unsupervised Graph Representation Learning

Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu
Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks

Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
Deformable Graph Convolutional Networks

Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation

Joonhyung Park, Hajin Shim, Eunho Yang
Interpretable Neural Subgraph Matching for Graph Retrieval

Indradyumna Roy, Venkata Sai Baba Reddy Velugoti, Soumen Chakrabarti, Abir De
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel

Shota Saito
VACA: Designing Variational Graph Autoencoders for Causal Queries

Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera
Graph Filtration Kernels

Till Hendrik Schulz, Pascal Welke, Stefan Wrobel
EqGNN: Equalized Node Opportunity in Graphs

Uriel Singer, Kira Radinsky
Graph Pointer Neural Networks

Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang
Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets

Haoran You, Zhihan Lu, Zijian Zhou, Yonggan Fu, Yingyan Lin
SAIL: Self-Augmented Graph Contrastive Learning

Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang
Low-Pass Graph Convolutional Network for Recommendation

Wenhui Yu, Zixin Zhang, Zheng Qin
Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning

Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying
ProtGNN: Towards Self-Explaining Graph Neural Networks

Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee
Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification

Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha
Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs

Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks

Kevin Osanlou, Jeremy Frank, Andrei Bursuc, Tristan Cazenave, Eric Jacopin, Christophe Guettier, J. Benton
Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search

Animesh Sinha, Utkarsh Azad, Harjinder Singh
Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs

Berkeley R. Andrus, Yeganeh Nasiri, Shilong Cui, Benjamin Cullen, Nancy Fulda
ISEEQ: Information Seeking Question Generation Using Dynamic Meta-Information Retrieval and Knowledge Graphs

Manas Gaur, Kalpa Gunaratna, Vijay Srinivasan, Hongxia Jin
Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering

Mingxiao Li, Marie-Francine Moens
LeSICiN: A Heterogeneous Graph-Based Approach for Automatic Legal Statute Identification from Indian Legal Documents

Shounak Paul, Pawan Goyal, Saptarshi Ghosh
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification

Yinhua Piao, Sangseon Lee, Dohoon Lee, Sun Kim
Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization

Zixing Song, Irwin King
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation

Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang
GraphMemDialog: Optimizing End-to-End Task-Oriented Dialog Systems Using Graph Memory Networks

Jie Wu, Ian G. Harris, Hongzhi Zhao
A Graph Convolutional Network with Adaptive Graph Generation and Channel Selection for Event Detection

Zhipeng Xie, Yumin Tu
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding

Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting

Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe
Accelerating COVID-19 Research with Graph Mining and Transformer-Based Learning

Ilya Tyagin, Ankit Kulshrestha, Justin Sybrandt, Krish Matta, Michael Shtutman, Ilya Safro

ICLR-2022

A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?".

Asiri Wijesinghe, Qing Wang
Data-Efficient Graph Grammar Learning for Molecular Generation.

Minghao Guo, Veronika Thost, Beichen Li, Payel Das, Jie Chen, Wojciech Matusik
Expressiveness and Approximation Properties of Graph Neural Networks.

Floris Geerts, Juan L. Reutter
Understanding over-squashing and bottlenecks on graphs via curvature.

Jake Topping, Francesco Di Giovanni, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein
Is Homophily a Necessity for Graph Neural Networks?

Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
DEGREE: Decomposition Based Explanation for Graph Neural Networks.

Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations.

Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick
On Evaluation Metrics for Graph Generative Models.

Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor
Graph Condensation for Graph Neural Networks.

Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness.

Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah
Triangle and Four Cycle Counting with Predictions in Graph Streams.

Justin Y. Chen, Talya Eden, Piotr Indyk, Honghao Lin, Shyam Narayanan, Ronitt Rubinfeld, Sandeep Silwal, Tal Wagner, David P. Woodruff, Michael Zhang
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs.

Mikhail Galkin, Etienne G. Denis, Jiapeng Wu, William L. Hamilton
Graphon based Clustering and Testing of Networks: Algorithms and Theory.

Mahalakshmi Sabanayagam, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
How Attentive are Graph Attention Networks?

Shaked Brody, Uri Alon, Eran Yahav
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation.

Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
Large-Scale Representation Learning on Graphs via Bootstrapping.

Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L. Dyer, Rémi Munos, Petar Velickovic, Michal Valko
Top-N: Equivariant Set and Graph Generation without Exchangeability.

Clément Vignac, Pascal Frossard
PF-GNN: Differentiable particle filtering based approximation of universal graph representations.

Mohammed Haroon Dupty, Yanfei Dong, Wee Sun Lee
Equivariant Graph Mechanics Networks with Constraints.

Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang
Convergent Graph Solvers.

Junyoung Park, Jinhyun Choo, Jinkyoo Park
GLASS: GNN with Labeling Tricks for Subgraph Representation Learning.

Xiyuan Wang, Muhan Zhang
Space-Time Graph Neural Networks.

Samar Hadou, Charilaos I. Kanatsoulis, Alejandro Ribeiro
End-to-End Learning of Probabilistic Hierarchies on Graphs.

Daniel Zügner, Bertrand Charpentier, Morgane Ayle, Sascha Geringer, Stephan Günnemann
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification.

Joonhyung Park, Jaeyun Song, Eunho Yang
Why Propagate Alone? Parallel Use of Labels and Features on Graphs.

Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks.

Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li
Query Embedding on Hyper-Relational Knowledge Graphs.

Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin
Inductive Relation Prediction Using Analogy Subgraph Embeddings.

Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem.

Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability.

Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis.

Siyi Tang, Jared Dunnmon, Khaled Kamal Saab, Xuan Zhang, Qianying Huang, Florian Dubost, Daniel L. Rubin, Christopher Lee-Messer
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.

Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu
Graph-Relational Domain Adaptation.

Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication.

Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
Graph Neural Networks with Learnable Structural and Positional Representations.

Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, Xavier Bresson
Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction.

Mingyue Tang, Pan Li, Carl Yang
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective.

Wei Huang, Yayong Li, Weitao Du, Richard Y. D. Xu, Jie Yin, Ling Chen, Miao Zhang
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks.

Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut T. Kandemir, Anand Sivasubramaniam
Neural Methods for Logical Reasoning over Knowledge Graphs.

Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang
Graph-Guided Network for Irregularly Sampled Multivariate Time Series.

Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik
Explainable GNN-Based Models over Knowledge Graphs.

David Jaime Tena Cucala, Bernardo Cuenca Grau, Egor V. Kostylev, Boris Motik
Pre-training Molecular Graph Representation with 3D Geometry.

Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
GRAND++: Graph Neural Diffusion with A Source Term.

Matthew Thorpe, Tan Minh Nguyen, Hedi Xia, Thomas Strohmer, Andrea L. Bertozzi, Stanley J. Osher, Bao Wang
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs.

Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms.

Simin Hong, Anthony G. Cohn, David Crossland Hogg
Learning Graphon Mean Field Games and Approximate Nash Equilibria.

Kai Cui, Heinz Koeppl
Topological Graph Neural Networks.

Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten M. Borgwardt
Automated Self-Supervised Learning for Graphs.

Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks.

Eli Chien, Chao Pan, Jianhao Peng, Olgica Milenkovic
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.

Wenqing Zheng, Edward W. Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery.

Yulun Wu, Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Érica Teixeira Prates, Verónica G. Melesse Vergara, Manesh Shah, Austin Clyde, Thomas S. Brettin, Wibe Albert de Jong, Neeraj Kumar, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown
Spherical Message Passing for 3D Molecular Graphs.

Yi Liu, Limei Wang, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, Shuiwang Ji
Fairness Guarantees under Demographic Shift.

Stephen Giguere, Blossom Metevier, Bruno Castro da Silva, Yuriy Brun, Philip S. Thomas, Scott Niekum
Learning Guarantees for Graph Convolutional Networks on the Stochastic Block Model.

Wei Lu
Graph-based Nearest Neighbor Search in Hyperbolic Spaces.

Liudmila Prokhorenkova, Dmitry Baranchuk, Nikolay Bogachev, Yury Demidovich, Alexander Kolpakov
Discovering Invariant Rationales for Graph Neural Networks.

Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua
Do We Need Anisotropic Graph Neural Networks?

Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas Donald Lane
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond.

Jonathan Godwin, Michael Schaarschmidt, Alexander L. Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks.

Andrea Cini, Ivan Marisca, Cesare Alippi
Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels.

Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui
Handling Distribution Shifts on Graphs: An Invariance Perspective.

Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf
Generalized Demographic Parity for Group Fairness.

Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu
Fixed Neural Network Steganography: Train the images, not the network.

Varsha Kishore, Xiangyu Chen, Yan Wang, Boyi Li, Kilian Q. Weinberger
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease.

Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Daniel R. Weinberger, Archana Venkataraman
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph.

Dacheng Yin, Xuanchi Ren, Chong Luo, Yuwang Wang, Zhiwei Xiong, Wenjun Zeng
GNN is a Counter? Revisiting GNN for Question Answering.

Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin
Neural graphical modelling in continuous-time: consistency guarantees and algorithms.

Alexis Bellot, Kim Branson, Mihaela van der Schaar
Learning to Schedule Learning rate with Graph Neural Networks.

Yuanhao Xiong, Li-Cheng Lan, Xiangning Chen, Ruochen Wang, Cho-Jui Hsieh
GreaseLM: Graph REASoning Enhanced Language Models.

Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features.

Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting.

Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, Yulia R. Gel
GNN-LM: Language Modeling based on Global Contexts via GNN.

Yuxian Meng, Shi Zong, Xiaoya Li, Xiaofei Sun, Tianwei Zhang, Fei Wu, Jiwei Li
Revisiting Over-smoothing in BERT from the Perspective of Graph.

Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series.

Enyan Dai, Jie Chen
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design.

Wengong Jin, Jeremy Wohlwend, Regina Barzilay, Tommi S. Jaakkola
Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions.

Nicholas Gao, Stephan Günnemann
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions.

Leslie O'Bray, Max Horn, Bastian Rieck, Karsten M. Borgwardt
Context-Aware Sparse Deep Coordination Graphs.

Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
Spanning Tree-based Graph Generation for Molecules.

Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song
Equivariant Subgraph Aggregation Networks.

Beatrice Bevilacqua, Fabrizio Frasca, Derek Lim, Balasubramaniam Srinivasan, Chen Cai, Gopinath Balamurugan, Michael M. Bronstein, Haggai Maron

WSDM-2022

Graph Collaborative Reasoning

Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation

Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels

Enyan Dai, Wei Jin, Hui Liu, Suhang Wang
Predicting Human Mobility via Graph Convolutional Dual-attentive Networks

Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, Jilong Wang
Efficient Graph Convolution for Joint Node Representation Learning and Clustering

Chakib Fettal, Lazhar Labiod, Mohamed Nadif
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling

Shen Gao, Yuchi Zhang, Yongliang Wang, Yang Dong, Xiuying Chen, Dongyan Zhao, Rui Yan
Multi-Scale Variational Graph AutoEncoder for Link Prediction

Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang
Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction

Jinquan Hang, Zheng Dong, Hongke Zhao, Xin Song, Peng Wang, Hengshu Zhu
Triangle Graph Interest Network for Click-through Rate Prediction

Wensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification

Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
GAGE: Geometry Preserving Attributed Graph Embeddings

Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
Graph Embedding with Hierarchical Attentive Membership

Lu Lin, Ethan Blaser, Hongning Wang
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks

Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks

Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
ComGA: Community-Aware Attributed Graph Anomaly Detection

Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue
Learning Fair Node Representations with Graph Counterfactual Fairness

Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation

Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation

Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong
Attributed Graph Modeling with Vertex Replacement Grammars

Satyaki Sikdar, Neil Shah, Tim Weninger
Graph Few-shot Class-incremental Learning

Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu
Friend Story Ranking with Edge-Contextual Local Graph Convolutions

Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah
Scalable Graph Topology Learning via Spectral Densification

Yongyu Wang, Zhiqiang Zhao, Zhuo Feng
Profiling the Design Space for Graph Neural Networks based Collaborative Filtering

Zhenyi Wang, Huan Zhao, Chuan Shi
Interpretable Relation Learning on Heterogeneous Graphs

Qiang Yang, Qiannan Zhang, Chuxu Zhang, Xiangliang Zhang
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations

Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
Community Trend Prediction on Heterogeneous Graph in E-commerce

Jiahao Yuan, Zhao Li, Pengcheng Zou, Xuan Gao, Jinwei Pan, Wendi Ji, Xiaoling Wang
Learning Concept Prerequisite Relations from Educational Data via Multi-Head Attention Variational Graph Auto-Encoders

Juntao Zhang, Nanzhou Lin, Xuelong Zhang, Wei Song, Xiandi Yang, Zhiyong Peng
Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network

Kai Zhao, Yukun Zheng, Tao Zhuang, Xiang Li, Xiaoyi Zeng
DualDE: Dually Distilling Knowledge Graph Embedding for Faster and Cheaper Reasoning

Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, Huajun Chen
A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion

Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao, Weisi Han

WWW-2022

Modeling User Behavior with Graph Convolution for Personalized Product Search

Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search

Dian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, Fuyu Lv, Tao Zhuang, Xiaoyi Zeng, Xiangnan He
Efficient and Effective Similarity Search over Bipartite Graphs

Renchi Yang
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph

Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher
TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection

Sijia Li, Gaopeng Gou, Chang Liu, Chengshang Hou, Zhenzhen Li, Gang Xiong
ALLIE: Active Learning on Large-scale Imbalanced Graphs

Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee
Rethinking Graph Convolutional Networks in Knowledge Graph Completion

Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings

Kai Wang, Yu Liu, Quan Z. Sheng
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang
Knowledge Graph Reasoning with Relational Digraph

Yongqi Zhang, Quanming Yao
Path Language Modeling over Knowledge Graphs for Explainable Recommendation

Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo, Yongfeng Zhang
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data

Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren
Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs

Aleksandr Perevalov, Andreas Both, Dennis Diefenbach, Axel-Cyrille Ngonga Ngomo
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning

Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
An Invertible Graph Diffusion Neural Network for Source Localization

Junxiang Wang, Junji Jiang, Liang Zhao
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation

Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li
MiDaS: Representative Sampling from Real-world Hypergraphs

Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
CGC: Contrastive Graph Clustering for Community Detection and Tracking

Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos
Graph Neural Networks Beyond Compromise Between Attribute and Topology

Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He
Graph Sanitation with Application to Node Classification

Zhe Xu, Boxin Du, Hanghang Tong
TREND: TempoRal Event and Node Dynamics for Graph Representation Learning

Zhihao Wen, Yuan Fang
Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling

Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Sanglu Lu
Graph Communal Contrastive Learning

Bolian Li, Baoyu Jing, Hanghang Tong
Geometric Graph Representation Learning via Maximizing Rate Reduction

Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
Dual Space Graph Contrastive Learning

Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift

Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks

Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily

Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang
Model-Agnostic Augmentation for Accurate Graph Classification

Jaemin Yoo, Sooyeon Shim, U Kang
Multimodal Continual Graph Learning with Neural Architecture Search

Jie Cai, Xin Wang, Chaoyu Guan, Yateng Tang, Jin Xu, Bin Zhong, Wenwu Zhu
AUC-oriented Graph Neural Network for Fraud Detection

Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation

Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu
Graph-adaptive Rectified Linear Unit for Graph Neural Networks

Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King
Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction

Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang
Adversarial Graph Contrastive Learning with Information Regularization

Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective

Lanning Wei, Huan Zhao, Zhiqiang He
Towards Unsupervised Deep Graph Structure Learning

Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
Polarized Graph Neural Networks

Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long, Yingxue Zhang
Unbiased Graph Embedding with Biased Graph Observations

Nan Wang, Lu Lin, Jundong Li, Hongning Wang
Prohibited Item Detection via Risk Graph Structure Learning

Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi, Jianan Zhao, Junping Du
Inflation Improves Graph Neural Networks

Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang
Generating Simple Directed Social Network Graphs for Information Spreading

Christoph Schweimer, Christine Gfrerer, Florian Lugstein, David Pape, Jan A. Velimsky, Robert Elsässer, Bernhard C. Geiger
On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks

Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang, Jianling Sun
Curvature Graph Generative Adversarial Networks

Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices

Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily

Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
Compact Graph Structure Learning via Mutual Information Compression

Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi
ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs

Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li, Hong Chen
Graph Neural Network for Higher-Order Dependency Networks

Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang
PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm

Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui
Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction

Le Yu, Guanghui Wu, Leilei Sun, Bowen Du, Weifeng Lv
Hypercomplex Graph Collaborative Filtering

Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain
Graph Neural Transport Networks with Non-local Attentions for Recommender Systems

Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning

Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie
GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction

Chunyu Wei, Bing Bai, Kun Bai, Fei Wang
Graph-based Extractive Explainer for Recommendations

Peng Wang, Renqin Cai, Hongning Wang
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning

Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao
Evidence-aware Fake News Detection with Graph Neural Networks

Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang
Rumor Detection on Social Media with Graph Adversarial Contrastive Learning

Tiening Sun, Zhong Qian, Sujun Dong, Peifeng Li, Qiaoming Zhu
VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks

Fayokemi Ojo, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh
Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network

Ye Tao, Ying Li, Su Zhang, Zhirong Hou, Zhonghai Wu
DiriE: Knowledge Graph Embedding with Dirichlet Distribution

Feiyang Wang, Zhongbao Zhang, Li Sun, Junda Ye, Yang Yan
STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation

Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang
GRAND+: Scalable Graph Random Neural Networks

Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network

Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive Attributes

Hui Hu, Lu Cheng, Jayden Parker Vap, Mike Borowczak

ICDE-2022

BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection

Yulin Zhu, Yuni Lai, Kaifa Zhao, Xiapu Luo, Mingquan Yuan, Jian Ren, Kai Zhou
Accurate and Scalable Graph Neural Networks for Billion-Scale Graphs

Juxiang Zeng, Pinghui Wang, Lin Lan, Junzhou Zhao, Feiyang Sun, Jing Tao, Junlan Feng, Min Hu, Xiaohong Guan
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation

Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
Academic Expert Finding via $(k, \mathcal{P})$-Core based Embedding over Heterogeneous Graphs

Xiaoliang Xu, Jun Liu, Yuxiang Wang, Xiangyu Ke
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020

Jin Xu, Mingjian Chen, Jianqiang Huang, Xingyuan Tang, Ke Hu, Jian Li, Jia Cheng, Jun Lei
SLUGGER: Lossless Hierarchical Summarization of Massive Graphs

Kyuhan Lee, Jihoon Ko, Kijung Shin
$O^{2}$-SiteRec: Store Site Recommendation under the O2O Model via Multi-graph Attention Networks

Hua Yan, Shuai Wang, Yu Yang, Baoshen Guo, Tian He, Desheng Zhang
A Data-Driven Spatial-Temporal Graph Neural Network for Docked Bike Prediction

Guanyao Li, Xiaofeng Wang, Gunarto Sindoro Njoo, Shuhan Zhong, S.-H. Gary Chan, Chih-Chieh Hung, Wen-Chih Peng
Black-box Adversarial Attack and Defense on Graph Neural Networks

Haoyang Li, Shimin Di, Zijian Li, Lei Chen, Jiannong Cao
MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks

Panpan Qi, Dan Li, See-Kiong Ng
On Compressing Temporal Graphs

Panagiotis Liakos, Katia Papakonstantinopoulou, Theodore Stefou, Alex Delis
Dynamic Hypergraph Convolutional Network

Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua
PSP: Progressive Space Pruning for Efficient Graph Neural Architecture Search

Guanghui Zhu, Wenjie Wang, Zhuoer Xu, Feng Cheng, Mengchuan Qiu, Chunfeng Yuan, Yihua Huang
HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache

Sicong Dong, Xupeng Miao, Pengkai Liu, Xin Wang, Bin Cui, Jianxin Li
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction

Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
BA-GNN: On Learning Bias-Aware Graph Neural Network

Zhengyu Chen, Teng Xiao, Kun Kuang
VICS-GNN: A Visual Interactive System for Community Search via Graph Neural Network

Jiazun Chen, Jun Gao
Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender Systems

Shendi Wang, Haoyang Li, Caleb Chen Cao, Xiao-Hui Li, Ng Ngai Fai, Jianxin Liu, Xun Xue, Hu Song, Jinyu Li, Guangye Gu, Lei Chen
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce

Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang

SIGMOD-2022

Entity Resolution with Hierarchical Graph Attention Networks

Dezhong Yao, Yuhong Gu, Gao Cong, Hai Jin, Xinqiao Lv
Compact Walks: Taming Knowledge-Graph Embeddings with Domain- and Task-Specific Pathways

Pei-Yu Hou, Daniel Robert Korn, Cleber C. Melo-Filho, David R. Wright, Alexander Tropsha, Rada Chirkova
Explaining Link Prediction Systems based on Knowledge Graph Embeddings

Andrea Rossi, Donatella Firmani, Paolo Merialdo, Tommaso Teofili

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Graph-Learning-2022.md

Graph-Learning-2022.md

Contents

IJCAI-2022

ICML-2022

KDD-2022

SIGIR-2022

NeurIPS-2022

CIKM-2022

AAAI-2022

ICLR-2022

WSDM-2022

WWW-2022

ICDE-2022

SIGMOD-2022

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