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 ...
"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", ...
Hypergraphs, which extend traditional graphs by allowing hyperedges to connect multiple nodes, offer a richer representation of complex relationships in fields like social networks, bioinformatics, ...
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 ...
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