Aug 2026
A Knowledge Graph–Driven Multimodal Framework for Drug–Disease Association Prediction
KGDDA is proposed, a multimodal framework designed for drug-disease association prediction that synergistically integrates KGs with medical ontologies, enabling the adaptive capture of intricate drug-disease interactions.
Qi-Chang Zhao, Qiao Ling, Muhammad Habibulla Alamin et al.
· IEEE Transactions on Computa... · 0 citations