CS224W:Which Trick Works Best in GNN?
Which Trick Works Best in GNN?— Analyzed on arXiv Citation Dataset By Yezhen Cong, Kaili Huang, Jiani Wang as part of the Stanford CS224W course project. Overview For students and researchers, reading papers is very helpful when they are studying certain topics. As you can see on the paper archive website arXiv, papers are categorized into different subj..
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CS224W-Review
CS224W Review Pictures from: cs224w.stanford.edu Not important: Lectures 1, 5, 9, 12, and 14. Important: 2,4,6,7,8,10,11,13 Topic list (not exhaustive): Centrality measures & PageRank ‼️GNN model & design space (message passing, aggregate, and combine) - core to build GNN knowledge graph embeddings, Query2Box, recommender systems(LightGCN), genera..
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