Yuanpeng Zhang
Orcid: 0009-0003-9517-8257Affiliations:
- Central South University, School of Computer Science and Engineering, Changsha, China
According to our database1,
Yuanpeng Zhang authored at least 14 papers
between 2023 and 2026.
Collaborative distances:
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Timeline
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Bibliography
2026
J. Chem. Inf. Model., 2026
DeepLMI: deep feature mining with a globally enhanced graph convolutional network for robust lncRNA-miRNA interaction prediction.
Bioinform., 2026
2025
DeepHeteroCDA: circRNA-drug sensitivity associations prediction via multi-scale heterogeneous network and graph attention mechanism.
Briefings Bioinform., March, 2025
DeepExpDR: Drug Response Prediction through Molecular Topological Grouping and Substructure-Aware Expert.
J. Chem. Inf. Model., 2025
Unraveling Disease-Associated PIWI-Interacting RNAs with a Contrastive Learning Methods.
J. Chem. Inf. Model., 2025
Precise prediction of hotspot residues in protein-RNA complexes using graph attention networks and pretrained protein language models.
Bioinform., 2025
Contrastive hypergraph collaborative filtering for transfer RNA-disease association prediction.
Briefings Bioinform., 2025
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional network.
Briefings Bioinform., May, 2024
LSNSCDA: Unraveling CircRNA-Drug Sensitivity via Local Smoothing Graph Neural Network and Credible Negative Samples.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associations.
Briefings Bioinform., September, 2023
PTDA-SWGCL: Predicting tRNA-Disease Associations using Supplementarily Weighted Graph Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
CLPiDA: A Contrastive Learning Approach for Predicting Potential PiRNA-Disease Associations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023