A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
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Updated
Jan 12, 2023 - Python
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"
[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.
This is our solution for WSDM - DiggSci 2020. We implemented a simple yet robust search pipeline which ranked 2nd in the validation set and 4th in the test set. We won the gold prize at innovation track and bronze prize at dataset track.
Keras implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation". Includes synthetic GED data.
7th place solution to the WSDM Cup 2019 - Spotify - Sequential Skip Prediction Challenge
Code for "RedQueen: An Online Algorithm for Smart Broadcasting on Social Networks", WSDM 2017
This is the official code for the WSDM 2021 paper: 'Local Collaborative Autoencoders.'
2016-至今nlp/ir/recsys/ai相关顶会的论文清单paperlist列表含目录,方便直接搜索关键字。包括AAAI/ACL/EMNLP/IJCAI/SIGIR/CIKM/WSDM/WWW/NIPS/COLING
Code for "On the Complexity of Opinions and Online Discussions", WSDM 2019
CoReRank: Ranking to Detect Users Involved in Blackmarket-based Collusive Retweeting Activities (WSDM 2019)
Joint Optimization of Cascade Ranking Models (WSDM 19)
Sequential skip prediction using deep learning and ensembles
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