Hypergraphs

Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets

This paper aims for set-to-hypergraph prediction, where the goal is to infer the set of relations for a given set of entities. This is a common abstraction for applications in particle physics, biological systems and combinatorial optimization. We …