Heterogeneous dual-channel and interpretable graph representation learning with global virtual nodes for microRNA-mediated drug sensitivity prediction
- DOI
- 10.1007/s11030-026-11648-6
- Published
- 2026-07-09
- Container
- Molecular Diversity
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11030-026-11648-6,
title = {Heterogeneous dual-channel and interpretable graph representation learning with global virtual nodes for microRNA-mediated drug sensitivity prediction},
author = {Kailai Zhou and Jinming Guo and Yang Cao and Ziqi Xu and Yanbu Guo},
year = {2026},
journal = {Molecular Diversity},
doi = {10.1007/s11030-026-11648-6},
url = {https://doi.org/10.1007/s11030-026-11648-6}
}RIS
TY - JOUR TI - Heterogeneous dual-channel and interpretable graph representation learning with global virtual nodes for microRNA-mediated drug sensitivity prediction AU - Kailai Zhou AU - Jinming Guo AU - Yang Cao AU - Ziqi Xu AU - Yanbu Guo PY - 2026 JO - Molecular Diversity DO - 10.1007/s11030-026-11648-6 UR - https://doi.org/10.1007/s11030-026-11648-6 ER -
APA
Zhou, K., Guo, J., Cao, Y., Xu, Z., & Guo, Y. (2026). Heterogeneous dual-channel and interpretable graph representation learning with global virtual nodes for microRNA-mediated drug sensitivity prediction. Molecular Diversity. https://doi.org/10.1007/s11030-026-11648-6
Source records
- crossref · retrieved 2026-09-25T07:09:30.598Z