Article

OMNI: Optimized Multi-view Network Integration with Heterogeneous Graph Attention for Biomedical Interaction Prediction

2025-12-26

Abstract excerpt

<h4>Motivation</h4> Accurate prediction of biomedical relationships, such as chemical–gene interactions, is fundamental to understanding disease mechanisms and advancing drug discovery. With the rapid growth of heterogeneous biological data, modeling large-scale, multi-entity networks has become increasingly challenging. Traditional approaches, including homogeneous GNNs (e.g., GCN, GAT) and meta-path-based rando...

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Literature Corpus work: 2b05892a-8c52-5b83-8bd0-88bdb97973e8
DOI: 10.64898/2025.12.25.696543

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