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}
}