Advantage of traditional embedding methods (e.g., metapath2vec) compared to GNN?

Since DGL also supports traditional embedding methods (deepwalk, metapath2vec), what is the advantage of these methods compare to GNN?

Maybe when topology information is important embedding methods are better.

As you said, GNNs can be strong when you have rich input features.

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Hi, the question is definitely a very open one. Prof. Peng Cui gave a quite insightful talk on this in KDD’20. See his talk slides here: https://www.calvinzang.com/file/kdd20/KDD_tutorial_part2_network_embedding_and_GCN.pdf

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