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Problems with graph embedding methods drift
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Classroom Contents
Graph SAGE - Inductive Representation Learning on Large Graphs - GNN Paper Explained
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- 1 Intro
- 2 Problems with previous methods
- 3 High-level overview of the method
- 4 Some notes on the related work
- 5 Pseudo-code explanation
- 6 How do we train Graph SAGE?
- 7 Note on the neighborhood function
- 8 Aggregator functions
- 9 Results
- 10 Expressiveness of Graph SAGE
- 11 Mini-batch version
- 12 Problems with graph embedding methods drift
- 13 Comparison with GCN and GAT
