Graph Networks Papers summary

In this article, I’d like to summary several papers related to Graph Neural Networks. This summary is not complete yet. I will keep on updating in the next two or three weeks (Since April 20, 2020).

Semi-Supervised Classification with Graph Convolutional Networks

Authors and conference

Thomas N. Kipf, Max Welling

University of Amsterdam

ICLR 2017

Contributions

Main steps

Experiment Results

Critique

Graph Attention Networks

Variational Graph Auto-Encoders

Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks

Reference

Semi-Supervised Classification with Graph Convolutional Networks
Graph Attention Networks
Variational Graph Auto-Encoders
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks