Raphaël Pellegrin

Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings

Higher-order information is crucial for relational learning in many domains where relationships extend beyond pairwise interactions. Hypergraphs provide a natural framework for modeling such relationships, which has motivated recent extensions of graph neural network (GNN) architectures to hypergrap…