Jiahua Rao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Quantitative Evaluation

Graph Representation

Top Venues

Briefings Bioinform.

Comput. Biol. Medicine

J. Chem. Inf. Model.

Publications

Jiancong Xie, Jiahua Rao, Junjie Xie, Huiying Zhao, Yuedong Yang
Predicting disease-gene associations through self-supervised mutual infomax graph convolution network. Comput. Biol. Medicine 170 (2024)
Jiahua Rao, Jiancong Xie, Hanjing Lin, Shuangjia Zheng, Zhen Wang, Yuedong Yang
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks. CoRR (2024)
Jiancong Xie, Yi Wang, Jiahua Rao, Shuangjia Zheng, Yuedong Yang
Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph. J. Chem. Inf. Model. 64 (6) (2024)
Jiahua Rao, Zifei Shan, Longpo Liu, Yao Zhou, Yuedong Yang
Retrieval-based Knowledge Augmented Vision Language Pre-training. CoRR (2023)
Jiahua Rao, Zifei Shan, Longpo Liu, Yao Zhou, Yuedong Yang
Retrieval-based Knowledge Augmented Vision Language Pre-training. ACM Multimedia (2023)
Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. IJCAI (2022)
Wei Lu, Qifeng Wu, Jixian Zhang, Jiahua Rao, Chengtao Li, Shuangjia Zheng
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction. NeurIPS (2022)
Jiahua Rao, Shuangjia Zheng, Yutong Lu, Yuedong Yang
Quantitative evaluation of explainable graph neural networks for molecular property prediction. Patterns 3 (12) (2022)
Qianmu Yuan, Sheng Chen, Jiahua Rao, Shuangjia Zheng, Huiying Zhao, Yuedong Yang
AlphaFold2-aware protein-DNA binding site prediction using graph transformer. Briefings Bioinform. 23 (2) (2022)
Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. CoRR (2022)
Xin-Feng Wang, Xiang Zhou, Jiahua Rao, Zhu-Jin Zhang, Yue-Dong Yang
Imputing DNA Methylation by Transferred Learning Based Neural Network. J. Comput. Sci. Technol. 37 (2) (2022)
Jiahua Rao, Shuangjia Zheng, Yuedong Yang
Integrating supercomputing and artificial intelligence for life science. Patterns 3 (12) (2022)
Shuangjia Zheng, Jiahua Rao, Ying Song, Jixian Zhang, Xianglu Xiao, Evandro Fei Fang, Yuedong Yang, Zhangming Niu
PharmKG: a dedicated knowledge graph benchmark for bomedical data mining. Briefings Bioinform. 22 (4) (2021)
Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang
Learning Attributed Graph Representations with Communicative Message Passing Transformer. CoRR (2021)
Hua Chai, Xiang Zhou, Zhongyue Zhang, Jiahua Rao, Huiying Zhao, Yuedong Yang
Integrating multi-omics data through deep learning for accurate cancer prognosis prediction. Comput. Biol. Medicine 134 (2021)
Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang
Learning Attributed Graph Representation with Communicative Message Passing Transformer. IJCAI (2021)
Jiahua Rao, Shuangjia Zheng, Yuedong Yang
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction. CoRR (2021)
Yuansong Zeng, Xiang Zhou, Jiahua Rao, Yutong Lu, Yuedong Yang
Accurately Clustering Single-cell RNA-seq data by Capturing Structural Relations between Cells through Graph Convolutional Network. BIBM (2020)
Shuangjia Zheng, Jiahua Rao, Zhongyue Zhang, Jun Xu, Yuedong Yang
Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks. J. Chem. Inf. Model. 60 (1) (2020)
Yaobin Ke, Jiahua Rao, Huiying Zhao, Yutong Lu, Nong Xiao, Yuedong Yang
Accurate prediction of genome-wide RNA secondary structure profile based on extreme gradient boosting. Bioinform. 36 (17) (2020)
Shuangjia Zheng, Jiahua Rao, Zhongyue Zhang, Jun Xu, Yuedong Yang
Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks. CoRR (2019)