Hyperedge Interaction-aware Hypergraph Neural Network

arXiv:2401.15587v2 Announce Type: replace
Abstract: Hypergraphs provide an effective modeling approach for modeling high-order relationships in many real-world datasets. To capture such complex relationships, several hypergraph neural networks have been proposed for learning hypergraph structure, which propagate information from nodes to hyperedges and then from hyperedges back to nodes. However, most existing methods focus on information propagation between hyperedges and nodes, neglecting the interactions among hyperedges themselves. In this paper, we propose HeIHNN, a hyperedge interaction-aware hypergraph neural network, which …

abstract arxiv cs.lg cs.si datasets focus however hypergraph information modeling network networks neural network neural networks nodes relationships type world