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 21 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
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., 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