- Mainly focusing on graph representation learning
- Also interested in self-supervised learning and complex system
- Currently working on graph foundation models
Awesome GNN works on NeurIPS2022
Classify and arrange the papers of graph on NeurIPS2022.A Glance of Graph Transformers
Introduce the classical works of graph transformers.The Applications of Mutal Information in Deep Learning
Introduce some classical works which make use of mutual information
[NeurIPS 2022] Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
Keywords: GNN, Theoretical[ICLR 2022] How Attentive are Graph Attention Networks?
Keywords: GNN, Model Architecture[IJCAI 2022] RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
Keywords: GNN, Contrastive Learning[AAAI 2022] Augmentation-Free Self-Supervised Learning on Graphs
Keywords: GNN, Self-Supervised Learning[ICLR 2022] Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Keywords: GNN, Knowledge Distillation[IJCAI 2017] DynGEM: Deep Embedding Method for Dynamic Graphs
Keywords: Dynamic GNN