GNN column overview

Graph Convolutional Neural Networks

1. Theory

1. Principle :

1. http://xtf615.com/2019/02/24/gcn/
2. https://zhuanlan.zhihu.com/p/107162772
3. https://zhuanlan.zhihu.com/p/54505069
4. B station tutorial
5. According to the b station tutorial - my own understanding

2. Papers :

Review category:

1. HOW POWERFUL ARE GRAPH NEURAL NETWORKS?
2. Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks

Research category:

1. 第一代GCN：Spectral Networks and Locally Connected Networks on Graphs
2. 第二代GCN：Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
3. 第三代GCN：Semi-Supervised Classification with Graph Convolutional Networks

2. Models

1. Papers :

Review category:

1. Graph Neural Networks: A Review of Methods and Applications
2. A Comprehensive Survey on Graph Neural Networks

Research category:

1. SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
   (find the similarity of two graphs through GNN)

2. Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

3. Paper search on gnn

https://github.com/thunlp/GNNPapers
https://github.com/ChandlerBang/awesome-self-supervised-gnn