"This lab is designed to showcase and familiarise you with the basics of learning on hypergraphs. It will encompass both the theory behind hypergraph networks and putting them into practice.\n", ...
Abstract: Hypergraph neural networks (HyperGNNs) are a family of deep neural networks designed to perform inference on hypergraphs. HyperGNNs follow either a spectral or a spatial approach, in which a ...
If you’ve ever studied network theory or graph theory, you might be familiar with the concept of graphs. Graphs are mathematical structures that represent a collection of objects and the relationships ...
John Baez has written several nice blog posts already about decorated cospans, corelations, and his work with Brendan Fong on passive linear networks of circuits; we hope the present post navigates a ...
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