GHTMDA: A self-supervised heterogeneous graph hierarchical contrastive learning model for efficient metabolite-disease associations prediction.

Binglu Hu|Ying Su|Xuecong Tian|Chen Chen|Xiaoyi Lv|Cheng Chen


Anthology ID:DBLP:journals/ipm/HuSTCLC26
Year:2026
Venue:Information Processing and Management
Pages:104536
URL:https://doi.org/10.1016/J.IPM.2025.104536
DOI:https://doi.org/10.1016/J.IPM.2025.104536
DBLP:journals/ipm/HuSTCLC26
BibTeX:
@article{hu-2026-ghtmda, author = {Binglu Hu and Ying Su and Xuecong Tian and Chen Chen and Xiaoyi Lv and Cheng Chen}, title = {{GHTMDA: A self-supervised heterogeneous graph hierarchical contrastive learning model for efficient metabolite-disease associations prediction}}, journal = {Information Processing and Management}, volume = {63}, number = {3}, pages = {104536}, year = {2026}, url = {https://doi.org/10.1016/J.IPM.2025.104536}, doi = {https://doi.org/10.1016/J.IPM.2025.104536} }