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Graph Machine Learning

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Publié3 mai03/05/2021 06:13
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Invariant and equivariant layers with applications to GNN, PointNet and Transformers A blog post by Marc Lelarge about invariant and equivariant functions and their relation to the universality and expressivity of GNN. As the main result they show that any invariant/equivariant function on n points can be represented as a sum of functions on each point independently.