AI RESEARCH

Counterfactual Explanations for Hypergraph Neural Networks

arXiv CS.AI

ArXi:2602.04360v2 Announce Type: replace-cross Hypergraph neural networks (HGNNs) effectively model higher-order interactions in many real-world systems but remain difficult to interpret, limiting their deployment in high-stakes settings. We