1.Graph Convolutional Networks Zoo

Graph convolutional networks papers
SemiSupervised Classification with Graph Convolutional Networks
Learning Convolutional Neural Networks for Graphs
Geometric deep learning: going beyond Euclidean data
Deep Convolutional Networks on GraphStructured 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 GraphStructured 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
2.Websites:
Blog of Graph Convolutional Networks
3.Datasets:
Neural Message Passing for Quantum Chemistry
4.Github:
Autoencoder network for learning a continuous representation of molecular structures