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Directly integrating LLM semantics into brain network analysis leads to unprecedented stability and interpretability in disease diagnosis.
Domain-specific knowledge hypergraphs can now be extracted with significantly improved quality by dynamically learning and applying extraction skills, outperforming static few-shot learning.
