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