Search Results for author: Erik Henning Thiede

Found 2 papers, 2 papers with code

Autobahn: Automorphism-based Graph Neural Nets

1 code implementation NeurIPS 2021 Erik Henning Thiede, Wenda Zhou, Risi Kondor

Our formalism also encompasses novel architectures: as an example, we introduce a graph neural network that decomposes the graph into paths and cycles.

The general theory of permutation equivarant neural networks and higher order graph variational encoders

1 code implementation8 Apr 2020 Erik Henning Thiede, Truong Son Hy, Risi Kondor

Previous work on symmetric group equivariant neural networks generally only considered the case where the group acts by permuting the elements of a single vector.

Graph Generation Graph Learning +2

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