Article
Beyond Identifier Matching: An Empirical Characterization of Failure Modes in Biomedical Knowledge Graph Integration
2026-05-28
Abstract excerpt
<h4>Objective</h4> Biomedical knowledge graphs (KGs) such as PrimeKG, Hetionet, UMLS, and PharmGKB are increasingly used as the substrate for downstream machine-learning, retrieval-augmented generation, drug-repurposing, and electronic health record (EHR) augmentation pipelines. The dominant assumption in published work is that integrating two or more such KGs is a tractable engineering step solved by identifier...
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Identifiers and source
- Literature Corpus work
- b782a965-77e9-507e-ae8b-3c1183edc1be
- DOI
- 10.64898/2026.05.26.26354182
