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Jiahua Rao
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2020 – today
- 2024
- [j10]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: 108048 (2024) - [j9]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): 1945-1954 (2024) - [i6]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 abs/2402.04710 (2024) - 2023
- [c5]Jiahua Rao
, Zifei Shan
, Longpo Liu
, Yao Zhou
, Yuedong Yang
:
Retrieval-based Knowledge Augmented Vision Language Pre-training. ACM Multimedia 2023: 5399-5409 - [i5]Jiahua Rao, Zifei Shan, Longpo Liu, Yao Zhou, Yuedong Yang:
Retrieval-based Knowledge Augmented Vision Language Pre-training. CoRR abs/2304.13923 (2023) - 2022
- [j8]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) - [j7]Xinfeng 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): 320-329 (2022) - [j6]Jiahua Rao, Shuangjia Zheng, Yutong Lu, Yuedong Yang
:
Quantitative evaluation of explainable graph neural networks for molecular property prediction. Patterns 3(12): 100628 (2022) - [j5]Jiahua Rao, Shuangjia Zheng, Yuedong Yang
:
Integrating supercomputing and artificial intelligence for life science. Patterns 3(12): 100653 (2022) - [c4]Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang:
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. IJCAI 2022: 3919-3925 - [c3]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 - [i4]Jiahua Rao, Shuangjia Zheng, Sijie Mai, Yuedong Yang
:
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction. CoRR abs/2205.05957 (2022) - 2021
- [j4]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) - [j3]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: 104481 (2021) - [c2]Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang:
Learning Attributed Graph Representation with Communicative Message Passing Transformer. IJCAI 2021: 2242-2248 - [i3]Jiahua Rao, Shuangjia Zheng, Yuedong Yang:
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction. CoRR abs/2107.04119 (2021) - [i2]Jianwen Chen, Shuangjia Zheng, Ying Song, Jiahua Rao, Yuedong Yang:
Learning Attributed Graph Representations with Communicative Message Passing Transformer. CoRR abs/2107.08773 (2021) - 2020
- [j2]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): 4576-4582 (2020) - [j1]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): 47-55 (2020) - [c1]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: 519-522
2010 – 2019
- 2019
- [i1]Shuangjia Zheng, Jiahua Rao, Zhongyue Zhang, Jun Xu, Yuedong Yang:
Predicting Retrosynthetic Reaction using Self-Corrected Transformer Neural Networks. CoRR abs/1907.01356 (2019)
Coauthor Index
aka: Yue-Dong Yang
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last updated on 2024-05-08 20:59 CEST by the dblp team
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