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@graphml

Graph Machine Learning

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Publié11 mai11/05/2020 09:00
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Max Welling Talk GNN I recently thought about what are other types of GNN exist beyond message-passing. I think one of them can be equivariant networks, i.e. neural networks that have permutation-equivariant properties, but I think there are other possible powerful graph models that are yet to be discovered. In this video, Max Welling discusses his recent works on equivariant NNs for meshes and factor GNNs.