Temporal Graph Networks - GNN Paper Explained

Temporal Graph Networks - GNN Paper Explained

Aleksa Gordić - The AI Epiphany via YouTube Direct link

Dynamic graphs

1 of 15

1 of 15

Dynamic graphs

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Temporal Graph Networks - GNN Paper Explained

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  1. 1 Dynamic graphs
  2. 2 Suboptimal strategies
  3. 3 Terminology, temporal neighborhood
  4. 4 High-level overview of the system
  5. 5 We need to go deeper
  6. 6 Using temporal information to sample
  7. 7 Information leakage and the solution
  8. 8 Main modules explained
  9. 9 Memory staleness problem
  10. 10 Temporal graph attention
  11. 11 Vector representation of time
  12. 12 Batch size tradeoff
  13. 13 Results and ablation studies
  14. 14 Recap of the system
  15. 15 Some confusing parts

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