[2024]
- Yipeng Zhang, Cong Shen, Kelin Xia*,
"Multi-Cover Persistence (MCP)-based machine learning for polymer property prediction,"
Briefings in Bioinformatics,
(2024).
[PDF]
- Zhenyu Jiang, Pingjian Ding, Cong Shen*, Xiaopeng Dai*,
"Geometric molecular graph representation learning model for drug-drug interactions prediction,"
IEEE Journal of Biomedical and Health Informatics,
(2024).
[PDF]
- Zhenyu Jiang, Zhi Gong*, Xiaopeng Dai*, Hongyan Zhang, Pingjian Ding, Cong Shen*,
"Deep graph contrastive learning model for drug-drug interaction prediction,"
Plos One,
19(6), e0304798 (2024).
[PDF]
- Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo*, Kelin Xia*,
"Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction,"
Computational and Structural Biotechnology Journal,
23, 1016-1025 (2024).
[PDF]
[2023]
- Cong Shen, Jiawei Luo*, Kelin Xia*,
"Molecular geometric deep learning,"
Cell Reports Methods,
3(11), 100621 (2023).
[PDF]
- Wenyu Shan, Cong Shen, Lingyun Luo, Pingjian Ding*,
"Multi-task Learning for Predicting Synergistic Drug Combinations based on Auto-Encoding Multi-Relational Graphs,"
iScience,
26(10), 108020 (2023).
[PDF]
- Yichen Zhong, Cong Shen, Xiaoting Xi, Yuxun Luo, Pingjian Ding, Lingyun Luo*,
"Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations,"
Artificial Intelligence in Medicine,
145, 102665 (2023).
[PDF]
- Siyu Peng, Jiawei Luo*, Cong Shen, Bo Wang,
"Diagnosis of Lung Cancer Subtypes by Combining Multi-graph Embedding and Graph Fusion Network,"
International Conference on Intelligent Computing (ICIC),
445-456 (2023).
[PDF]
- Bo Wang, Jiawei Luo*, Ying Liu*, Wanwan Shi, Zehao Xiong, Cong Shen, Yahui Long,
"Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism,"
Briefings in Bioinformatics,
24(5), bbad262 (2023).
[PDF]
- Hou Yee Choo, JunJie Wee*, Cong Shen, Kelin Xia*,
"Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery,"
Journal of Chemical Information and Modeling,
63(10), 2928–2935 (2023).
[PDF]
[2022]
- Zehao Xiong, Xiangtao Chen*, Jiawei Luo*, Cong Shen, Zhongyuan Xu,
"scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis,"
IEEE International Conference on Bioinformatics and Biomedicine (BIBM),
178-181 (2022).
[PDF]
- Yichen Zhong, Cong Shen, Huanhuan Wu, Tao Xu, Lingyun Luo*,
"Improving the Prediction of Potential Kinase Inhibitors with Feature Learning on Multisource Knowledge,"
Interdisciplinary Sciences: Computational Life Sciences,
14, 775–785 (2022).
[PDF]
- Jiawei Luo*, Wenjue Ouyang, Cong Shen, Jie Cai,
"Multi-relation graph embedding for predicting miRNA-target gene interactions by integrating gene sequence information,"
IEEE Journal of Biomedical and Health Informatics (JBHI) ,
26(8), 4345-4353 (2022).
[PDF]
[2021]
- Jiawei Luo, Zihan Lai, Cong Shen, Pei Liu, Heyuan Shi*,
"Graph Attention Mechanism-based Deep Tensor Factorization for Predicting disease-associated miRNA-miRNA pairs,"
IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ,
189-196 (2021).
[PDF]
- Jiawei Luo, Yaoting Bao, Xiangtao Chen*, Cong Shen,
"Metapath-Based Deep Convolutional Neural Network for Predicting miRNA-Target Association on Heterogeneous Network,"
Interdisciplinary Sciences: Computational Life Sciences ,
13(4), 547–558 (2021).
[PDF]
- Xin Chen, Lingyun Luo, Cong Shen, Pingjian Ding*, Jiawei Luo,
“An In Silico Method for Predicting Drug Synergy Based on Multitask Learning,”
Interdisciplinary Sciences: Computational Life Sciences ,
13, 299-311, 2021.
[PDF]
- Xinru Tang, Jiawei Luo*, Cong Shen, Zihan Lai,
“Multi-view Multichannel Attention Graph Convolutional Network for miRNA–disease association prediction,”
Briefings in Bioinformatics,
22(6), 1-12, 2021.
[PDF]
[2020]
- Cong Shen, Jiawei Luo*, Wenjue Ouyang, Pingjian Ding, Xiangtao Chen,
“IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors,”
Bioinformatics,
36(22-23), 5481–5491, 2020.
[PDF]
- Cong Shen, Jiawei Luo*, Wenjue Ouyang, Pingjian Ding, Hao Wu,
“Identification of Small Molecule–miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks,”
Journal of Chemical Information and Modeling,
60(12), 6709–6721, 2020.
[PDF]
- Wei Wang, Jiawei Luo*, Cong Shen, Nguye Hoang Tu,
“A graph convolutional matrix completion method for miRNA-disease association prediction,”
International Conference on Intelligent Computing,
201–215, 2020.
[PDF]
- Cong Shen, Jiawei Luo*,Zihan Lai, Pingjian Ding,
“Multiview joint learning-based method for identifying small-molecule-associated MiRNAs by integrating pharmacological, genomics, and network knowledge,”
Journal of Chemical Information and Modeling,
60(8), 4085–4097, 2020.
[PDF]
- Jiawei Luo*, Cong Shen, Zihan Lai, Jie Cai, Pingjian Ding,
“Incorporating clinical, chemical and biological information for predicting small molecule-microRNA associations based on non-negative matrix factorization,”
IEEE/ACM transactions on computational biology and bioinformatics,
18(6), 2535–2545, 2020.
[PDF]
- Pingjian Ding, Cong Shen, Zihan Lai, Cheng Liang, Guanghui Li, Jiawei Luo*,
“Incorporating multisource knowledge to predict drug synergy based on graph co-regularization,”
Journal of chemical information and modeling,
60(1), 37–46, 2020.
[PDF]
[2019]
- Donghui Li, Cong Shen*, Xiaopeng Dai, Xinghui Zhu, Jian Luo, Xueting Li, Haiwen Chen, Zhiyao Liang,
“Research on Data Fusion of Adaptive Weighted Multi-Source Sensor,”
Computers, Materials & Continua,
61(3), 1217–1231, 2019.
[PDF]
- Donghui Li, Cong Shen*, Xiaopeng Dai, Haiwen Chen,
“A Kind of Agricultural Content Networking Information Fusion Method Based on Ontology,”
International Conference on Cloud Computing and Security,
576–588, 2019.
[PDF]
[2018]
- SHEN Cong, DAI Xiao-peng and LI Dong-hui*,
“A Research on Network Similarity Search Algorithm for Biological Networks,”
MATEC Web of Conferences,
173,03025, 2018.
[PDF]