Universal Invariant and Equivariant
Graph Neural Networks
Nicolas Keriven Gabriel Peyré
cole Normale Supérieure CNRS and cole Normale Supérieure
Paris, France Paris, France
nicolas.keriven@ens.fr gabriel.peyre@ens.fr
Abstract
Graph Neural Networks (GNN) come in many flavors, but should always be either
invariant (permutation of the nodes of the input graph does not affect ...
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