Tag: higher-order networks

A new critical review argues that topological deep learning, spanning persistent homology, simplicial and cellular complexes, and sheaf-based models, is ...

Researchers have developed BHyGNN+, a self-supervised framework that learns representations of heterophilic hypergraphs without labels by contrasting each hypergraph against ...