[Day 99] XCS224W: ML with Graphs: Theory of GNNs
Hello :) Today is Day 99! A quick summary of today: covered the next part of XCS224W: ML with Graphs 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 :)