Graph Neural networks

1. Introduction to Graph Neural Networks

Five groups:

1. Graph convolutional networks
2. Graph attention networks
3. Graph auto-encoders
4. Graph generative networks
5. Graph spatial-temporal networks.

1.1. Graph convolutional networks

Useful Urls

• Graph Convolutional Networks (GCNs) made simple
• Graph convolutional networks - Thomas Kipf 2016
• semi-supervised classification with graph neural networks - Kipf + Welling paper 2017
• Graph Neural Networks: a review of methods and applications - 2019
• A Comprehensive Survey on Graph Neural Networks - 2019
• Graph Neural Networks (GNN) using Pytorch Geometric | Stanford University
• Graph Neural Networks: simple example with Numpy - towardsdatascience

For a more mathematical oriented reader, the following will also be helpful:

• Laplacian Matrix
• Graph fourier transform
• Spectral graph theory

in general just look for graph neural network in youtube