Cong Shen

According to our database, Cong Shen authored at least 18 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations.

Yichen Zhong, Cong Shen, Xiaoting Xi, Yuxun Luo, Pingjian Ding, Lingyun Luo

Artif. Intell. Medicine, November, 2023

Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism.

Bo Wang, Jiawei Luo, Ying Liu, Wanwan Shi, Zehao Xiong, Cong Shen, Yahui Long

Briefings Bioinform., September, 2023

Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery.

Hou Yee Choo, Junjie Wee, Cong Shen, Kelin Xia

J. Chem. Inf. Model., May, 2023

Molecular geometric deep learning.

Cong Shen, Jiawei Luo, Kelin Xia

CoRR, 2023

Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction.

Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia

CoRR, 2023

Torsion Graph Neural Networks.

Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia

CoRR, 2023

Diagnosis of Lung Cancer Subtypes by Combining Multi-graph Embedding and Graph Fusion Network.

Siyu Peng, Jiawei Luo, Cong Shen, Bo Wang

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.

Jiawei Luo, Wenjue Ouyang, Cong Shen, Jie Cai

IEEE J. Biomed. Health Informatics, 2022

scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis.

Zehao Xiong, Xiangtao Chen, Jiawei Luo, Cong Shen, Zhongyuan Xu

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.

Jiawei Luo, Cong Shen, Zihan Lai, Jie Cai, Pingjian Ding

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors.

Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Xiangtao Chen

Bioinform., 2021

Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction.

Xinru Tang, Jiawei Luo, Cong Shen, Zihan Lai

Briefings Bioinform., 2021

Graph Attention Mechanism-based Deep Tensor Factorization for Predicting disease-associated miRNA-miRNA pairs.

Jiawei Luo, Zihan Lai, Cong Shen, Pei Liu, Heyuan Shi

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.

Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Hao Wu

J. Chem. Inf. Model., 2020

Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge.

Cong Shen, Jiawei Luo, Zihan Lai, Pingjian Ding

J. Chem. Inf. Model., 2020

Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization.

Pingjian Ding, Cong Shen, Zihan Lai, Cheng Liang, Guanghui Li, Jiawei Luo

J. Chem. Inf. Model., 2020

A Graph Convolutional Matrix Completion Method for miRNA-Disease Association Prediction.

Wei Wang, Jiawei Luo, Cong Shen, Nguyen Hoang Tu

Proceedings of the Intelligent Computing Theories and Application, 2020

2018

A Kind of Agricultural Content Networking Information Fusion Method Based on Ontology.

Donghui Li, Cong Shen, Xiaopeng Dai, Haiwen Chen

Proceedings of the Cloud Computing and Security - 4th International Conference, 2018