structural-drift

HyperPatch proposes a parameter-preserving framework for sequential knowledge editing under n-ary structural drift, using hypergraph neural networks to maintain event integrity. It achieves 96.24% and 21.06% relative improvements in Hop-wise Accuracy on MQuAKE-CF and MQuAKE-T benchmarks, respectively.