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BEACON: predicting side effects and therapeutics outcomes to drugs by Bridging knowlEdge grAph with CONtextual language model

2026-01-30

Abstract excerpt

Biomedical knowledge graphs encode millions of relationships between drugs, proteins, pathways, and diseases, yet translating this structured knowledge into accurate predictions remains challenging. Existing deep learning approaches, including graph neural networks and knowledge graph embeddings, assign fixed representations to entities regardless of biological context, limiting their ability to capture how the sa...

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Identifiers and source

Literature Corpus work
202b0baf-3aeb-5c13-ae5e-e6735e6a1269
DOI
10.64898/2026.01.29.702277
Open publication

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