- 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