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Interesting post, I’m working on a whole graph classification problem at the moment. If GNNs aren’t the future, then where else should I be looking?


You should look at label propagation. Combining Label Propagation and Simple Models Out-performs Graph Neural Networks: https://arxiv.org/abs/2010.13993


Linked paper is focused on node classification, parent is asking for whole graph prediction.


For whole graph classification, I think GNNs are still the future.




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