Cong Shen
Orcid: 0000-0001-8505-6406Affiliations:
- Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
According to our database1,
Cong Shen authored at least 23 papers
between 2018 and 2026.
Collaborative distances:
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Bibliography
2026
MRDGNN: A multi-relational reasoning framework for predicting drug indications via relational digraphs.
Comput. Biol. Chem., 2026
2025
SpaMCI-DL: A Hybrid Deep Learning Framework for Integrated Identification of Domains and Spatially Variable Genes in Spatial Transcriptomics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
Geometric Molecular Graph Representation Learning Model for Drug-Drug Interactions Prediction.
IEEE J. Biomed. Health Informatics, December, 2024
Multi-Cover Persistence (MCP)-based machine learning for polymer property prediction.
Briefings Bioinform., November, 2024
2023
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations.
Artif. Intell. Medicine, November, 2023
Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism.
Briefings Bioinform., September, 2023
Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery.
J. Chem. Inf. Model., May, 2023
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction.
CoRR, 2023
Diagnosis of Lung Cancer Subtypes by Combining Multi-graph Embedding and Graph Fusion Network.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
Multi-Relation Graph Embedding for Predicting miRNA-Target Gene Interactions by Integrating Gene Sequence Information.
IEEE J. Biomed. Health Informatics, 2022
scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors.
Bioinform., 2021
Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction.
Briefings Bioinform., 2021
Graph Attention Mechanism-based Deep Tensor Factorization for Predicting disease-associated miRNA-miRNA pairs.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks.
J. Chem. Inf. Model., 2020
Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge.
J. Chem. Inf. Model., 2020
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization.
J. Chem. Inf. Model., 2020
A Graph Convolutional Matrix Completion Method for miRNA-Disease Association Prediction.
Proceedings of the Intelligent Computing Theories and Application, 2020
2018
A Kind of Agricultural Content Networking Information Fusion Method Based on Ontology.
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018