arXiv AI August 25, 2026 By Kushagra Yadav, Nalin Prabhath, Amit Lamba, Goeun Han, Yining Mao

Clinical Graph-JEPA: Predictive Patient-State Knowledge Graphs for Cognitive Decision Support

The paper introduces Clinical Graph-JEPA, a framework for building and refining predictive patient-state knowledge graphs from clinical records. It combines multi-agent relation proposal, ontology-aware normalization, deterministic evidence scoring, and JEPA-based latent refinement to construct evidence-scored graphs from MIMIC-IV data and recover missing clinical relations. Experiments show that injecting discharge-note representations into note-grounded entities boosts leave-one-out MRR by 31% relative improvement.

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