Cong Shen

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 8

Top Topics

Convolutional Network

Graph Embedding

Gene Interactions

Supervised Learning

Top Venues

Artif. Intell. Medicine

IEEE J. Biomed. Health Informatics

Briefings Bioinform.

Publications

Cong Shen, Pingjian Ding, Junjie Wee, Jialin Bi, Jiawei Luo, Kelin Xia
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction. CoRR (2023)
Cong Shen, Jiawei Luo, Kelin Xia
Molecular geometric deep learning. CoRR (2023)
Hou Yee Choo, Junjie Wee, Cong Shen, Kelin Xia
Fingerprint-Enhanced Graph Attention Network (FinGAT) Model for Antibiotic Discovery. J. Chem. Inf. Model. 63 (10) (2023)
Yichen Zhong, Cong Shen, Xiaoting Xi, Yuxun Luo, Pingjian Ding, Lingyun Luo
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations. Artif. Intell. Medicine 145 (2023)
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 Bioinform. 24 (5) (2023)
Cong Shen, Xiang Liu, Jiawei Luo, Kelin Xia
Torsion Graph Neural Networks. CoRR (2023)
Jiawei Luo, Wenjue Ouyang, Cong Shen, Jie Cai
Multi-Relation Graph Embedding for Predicting miRNA-Target Gene Interactions by Integrating Gene Sequence Information. IEEE J. Biomed. Health Informatics 26 (8) (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. BIBM (2022)