Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions

In three linesHGPM (Hypergraph Pattern Machine) models higher-order interactions by tokenizing compositional subsets and using an inclusion-aware Transformer. On 10 hypergraph benchmarks, the method matches or exceeds state-of-the-art, notably in adverse-event prediction where it correctly identifies inhibitory drug combinations that existing methods miss.

Summary generated by Claude — human-verified