NYU Deep Learning SP21 - 11 – Graph Convolutional Networks (GCNs)

Course website: http://bit.ly/DLSP21-web Playlist: http://bit.ly/DLSP21-YouTube Speaker: Alfredo Canziani Chapters 00:00 – Welcome to class 00:20 – Recap from lecture 10 → Graph Transformer Networks (GTNs) 02:50 – Today plan: tensors/representations living on vertices and edges 03:20 – Self-learning resources with Xavier Bresson and Jure Leskovec 04:42 – Graph Convolutional Networks (GCNs) 23:38 – Connection with Convolutional Nets (CNNs) on grids 26:36 – Residual gated GCNs 37:26 – Domain sparsity note 38:27 – PyTorch implementation using Deep Graph Library (DGL) 56:44 – And that was it!