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- A note on geometric deep learning
- Graph theory basics
- Intro to GATs related work
- A detailed explanation of the method
- A multi-head version of the GAT
- Visualizations, spatial pooling, GNN depth
- A recap of GAT properties
- Receptive field of spatial GNNs
- Datasets, transductive vs inductive learning
- Results on transductive/inductive benchmarks
- Representations visualization t-SNE
Aleksa Gordić - The AI Epiphany
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