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Hypergraph attention can be made more robust and expressive by decoupling learned weights from structural priors and allowing non-competitive information flow.
Naive retrieval hurts performance when predicting cellular responses to gene perturbations, but a differentiable, cell-type-aware retrieval mechanism like PT-RAG significantly boosts accuracy.