1.Graph Convolutional Networks Zoo

• Graph convolutional networks papers

  Semi-Supervised Classification with Graph Convolutional Networks

  Learning Convolutional Neural Networks for Graphs

  Geometric deep learning: going beyond Euclidean data

  Deep Convolutional Networks on Graph-Structured Data

  Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

  Spectral Networks and Deep Locally Connected Networks on Graphs

  Neural Graph Machines: Learning Neural Networks Using Graphs

  Deep Neural Networks for Learning Graph Representations

  Transfer Learning for Deep Learning on Graph-Structured Data

  Evolving Neural Networks through Augmenting Topologies

  Graph Embedding Techniques, Applications, and Performance: A Survey

  Learning Graph While Training: An Evolving Graph Convolutional Neural Network

• GCN Papers: Use GCN for drug discovery

  MoleculeNet: A Benchmark for Molecular Machine Learning

  Convolutional Networks on Graphs for Learning Molecular Fingerprints

  Molecular Graph Convolutions: Moving Beyond Fingerprints

  Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction

  Learning Graph-Level Representation for Drug Discovery

  Graph Convolutional Networks for Molecules

2.Websites:

Blog of Graph Convolutional Networks

Geometric Deep Learning

3.Datasets:

Neural Message Passing for Quantum Chemistry

4.Github:

Autoencoder network for learning a continuous representation of molecular structures

ORGAN