HyperGraphRAG introduces hypergraph-based knowledge representation to capture real-world n-ary relations, boosting answer accuracy, retrieval efficiency, and generation quality.

We propose a novel criterion for hyperedge disentanglement. We analyze hypergraph MPNN and disentanglement through the lens of category theory, and derive the criterion.