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BioMedKG: multimodal contrastive representation learning in augmented BioMedical knowledge graphs

Biomedical Knowledge Graphs (BKGs) integrate diverse datasets to elucidate complex relationships within the biomedical field. Effective link prediction on these graphs can uncover valuable connections, such as potential new drug-disease relations. We introduce a novel multimodal approach that unifie...

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Principais autores: Tien Dang, Viet Thanh Duy Nguyen, Minh Tuan Le, Truong-Son Hy
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2025-12-01
coleção:Frontiers in Systems Biology
Assuntos:
biomedical knowledge graphs
multimodal
graph representation learning
graph contrastive learning
medical languagemodels
data augmentation
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fsysb.2025.1651930/full
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