Kan-Kan She

Hyperbolic heterogeneous graph learning for adverse drug reaction prediction, candidate prioritization, and pathway-based interpretation in pharmacovigilance

Adverse drug reaction (ADR) prediction remains challenging because spontaneous reporting data leave many exposure unit–ADR associations unobserved and provide limited support for candidate prioritization and mechanistic interpretation. We developed MEG-HHGN, a mechanistic evidence-guided hyperbolic heterogen...