Poster
in
Workshop: 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML)
Unsupervised Learning of 3-colorings using Simplicial Higher-Order Neural Networks
Lucas Laird · Robin Walters · Wolfgang Gatterbauer
Abstract:
We propose Higher-Order Networks (HONs) for historically challenging problems for Graph Neural Networks (GNNs), such as Constraint Satisfaction Problems (CSPs). We apply a simple extension of GNNs to HONs and show its advantages for solving 3-coloring.
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