[Day 99] XCS224W: ML with Graphs: Theory of GNNs

 Hello :) 
Today is Day 99!


A quick summary of today:


Instead of doing the 3rd homework which is related to createing and training a GNN, I decided to continue with the next theory part, which funny enough is called 'theory of GNNs'. 

Covered topics:
Expressiveness of GNNs, computational graphs, problems with GCN and GraphSAGE's mean and max-pooling, designing the most expressive GNN, the Universal Approximation Theorem, Graph Isomorphism Network (GIN)




That is all for today!

See you tomorrow :)

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