- Graph Neural Networks: A Review of Methods and Applications, arxiv 2018.
- A Comprehensive Survey on Graph Neural Networks, arxiv 2019.
- A Gentle Introduction to Deep Learning for Graphs.
- Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017. (GCN)
- Inductive representation learning on large graphs (GraphSAGE), NIPS 2017
- Graph Attention Networks (GAT), ICLR 2018.
- How Powerful are Graph Neural Networks?, ICLR 2019.(GIN)
- Benchmarking Graph Neural Networks, arxiv 2020.
- A Fair Comparison of Graph Neural Networks for Graph Classification, ICLR 2020.
- Graph Convolutional Matrix Completion (GCMC), arxiv 2017.
- Neural Graph Collaborative Filtering, SIGIR 2019.
- KGAT: Knowledge Graph Attention Network for Recommendation, KDD 2019.
- LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation, SIGIR 2020.
- Session-based Recommendation with Graph Neural Networks, AAAI 2019.