Article

CellAwareGNN: Single-Cell Enhanced Knowledge Graph Foundation Model for Drug Indication Prediction

2026-02-23

Abstract excerpt

Graph foundation models have emerged as powerful tools for drug repurposing by enabling the prediction of novel drug–disease indications from large biomedical knowledge graphs. A representative example is TxGNN, which was previously developed and trained on PrimeKG, a comprehensive biomedical knowledge graph covering over 17,000 diseases. While TxGNN demonstrates strong performance, existing biomedical knowledge g...

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Literature Corpus work: aba9fe8e-1d2e-567a-9387-7d24a89edbe1
DOI: 10.64898/2026.02.20.707076

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