Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions

ArXi:2605.16527v1 Announce Type: new Hypergraphs model higher-order relations that drive real-world decisions, from drug prescriptions to recommendations. A central structural signal in such data, beyond what pairwise relations can express, is interaction compositionality: whether a higher-order relation is compositional, emergent, or inhibitory with respect to its observed or unobserved sets.