Temporal Graph Networks (TGN) | GNN Paper Explained

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A deep dive into the temporal graph networks paper.

You'll learn about:
✔️ What are dynamic graphs?
✔️ How to get a vectorized representation of time
✔️ All the nitty-gritty details behind the paper

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✅ https://arxiv.org/abs/2006.10637
✅ Chris Olah on LSTMs: https://colah.github.io/posts/2015-08-Understanding-LSTMs/
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⌚️ Timetable:

00:00 Dynamic graphs
03:00 Suboptimal strategies
05:30 Terminology, temporal neighborhood
07:30 High-level overview of the system
08:35 We need to go deeper
13:30 Using temporal information to sample
14:10 Information leakage and the solution
16:55 Main modules explained
21:20 Memory staleness problem
24:00 Temporal graph attention
26:00 Vector representation of time
29:15 Batch size tradeoff
31:00 Results and ablation studies
33:55 Recap of the system
36:55 Some confusing parts

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#temporalgraphnetworks #dynamicgraphs #graphml

Видео Temporal Graph Networks (TGN) | GNN Paper Explained канала Aleksa Gordić - The AI Epiphany