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Heterogeneous Graph Learning for Multi-Modal Drug Repurposing Networks

Ai Drug Repurposing

Graph Neural Networks Drug Target Prediction

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Ai Drug Repurposing › Graph Neural Networks Drug Target Prediction

Heterogeneous Graph Learning for Multi-Modal Drug Repurposing Networks

This research explores heterogeneous graph neural networks that integrate diverse biological data types including protein interactions, chemical structures, disease phenotypes, and clinical outcomes into unified predictive models. The approach generates novel drug-disease associations by discovering hidden patterns across multiple biological domains simultaneously.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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