#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]

Special discount link for Zak's GNN course - https://bit.ly/3uqmYVq
Patreon: https://www.patreon.com/mlst
Discord: https://discord.gg/ESrGqhf5CB
YT version: https://youtu.be/jAGIuobLp60 (there are lots of helper graphics there, recommended if poss)

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[00:00:00] Preamble
[00:03:12] Geometric deep learning
[00:10:04] Message passing
[00:20:42] Top down vs bottom up
[00:24:59] All NN architectures are different forms of information diffusion processes (squashing and smoothing problem)
[00:29:51] Graph rewiring
[00:31:38] Back to information diffusion 
[00:42:43] Transformers vs GNNs
[00:47:10] Equivariant subgraph aggregation networks + WL test
[00:55:36] Do equivariant layers aggregate too?
[00:57:49] Zak's GNN course

Exhaustive list of references on the YT show URL (https://youtu.be/jAGIuobLp60)