Graph Convolutional Networks - GCNs

– Welcome to class
– Recap from lecture 10 → Graph Transformer Networks GTNs
– Today plan: tensors/representations living on vertices and edges
– Self-learning resources with Xavier Bresson and Jure Leskovec
– Graph Convolutional Networks GCNs
– Connection with Convolutional Nets CNNs on grids
– Residual gated GCNs
– Domain sparsity note
– PyTorch implementation using Deep Graph Library DGL
– And that was it!