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Found 3 papers, 1 papers with code
Nerve theorems for fixed points of neural networks
In this work, we propose a method of covering graphs of CTLNs with a set of smaller directional graphs that reflect the local flow of activity.
Simplicial Neural Networks
We present simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.
A Notion of Harmonic Clustering in Simplicial Complexes
We outline a novel clustering scheme for simplicial complexes that produces clusters of simplices in a way that is sensitive to the homology of the complex.
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