KGCLMDA: a computational model for predicting latent associations of microbial drugs using knowledge graphs and contrastive learning
The source code is available at: https://github.com/SJshujuan/KGCLMDA. The code used in this study is also available on Zenodo: https://doi.org/10.5281/zenodo.16754402.
Authors
- Shan Huang (ORCID: https://orcid.org/0000-0002-5055-1308)
- Guohua Wang (ORCID: https://orcid.org/0000-0001-7381-2374)
- Meiling Liu (ORCID: https://orcid.org/0000-0001-7829-1475)
- Shujuan Su
Institutions
- Harbin Medical University (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
- Northeast Forestry University (CN)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-08-14
- DOI
- https://doi.org/10.1093/bioinformatics/btaf457
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China