Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural Networks von Zheng, Shuangjia, Rao, Jiahua, Zhang, Zhongyue, Xu, Jun, Yang, Yuedong

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Imputing single-cell RNA-seq data by combining graph convolution and autoencoder neural networks von Rao, Jiahua, Zhou, Xiang, Lu, Yutong, Zhao, Huiying, Yang, Yuedong

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A variational expectation-maximization framework for balanced multi-scale learning of protein and drug interactions von Rao, Jiahua, Xie, Jiancong, Yuan, Qianmu, Liu, Deqin, Wang, Zhen, Lu, Yutong, Zheng, Shuangjia, Yang, Yuedong

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Gene based message passing for drug repurposing von Wang, Yuxing, Li, Zhiyang, Rao, Jiahua, Yang, Yuedong, Dai, Zhiming

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Cross‐Modal Graph Contrastive Learning with Cellular Images von Zheng, Shuangjia, Rao, Jiahua, Zhang, Jixian, Zhou, Lianyu, Xie, Jiancong, Cohen, Ethan, Lu, Wei, Li, Chengtao, Yang, Yuedong

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Integrating multi-omics data through deep learning for accurate cancer prognosis prediction von Chai, Hua, Zhou, Xiang, Zhang, Zhongyue, Rao, Jiahua, Zhao, Huiying, Yang, Yuedong

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Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph von Xie, Jiancong, Wang, Yi, Rao, Jiahua, Zheng, Shuangjia, Yang, Yuedong

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AlphaFold2-aware protein–DNA binding site prediction using graph transformer von Yuan, Qianmu, Chen, Sheng, Rao, Jiahua, Zheng, Shuangjia, Zhao, Huiying, Yang, Yuedong

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PharmKG: a dedicated knowledge graph benchmark for bomedical data mining von Zheng, Shuangjia, Rao, Jiahua, Song, Ying, Zhang, Jixian, Xiao, Xianglu, Fang, Evandro Fei, Yang, Yuedong, Niu, Zhangming

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Predicting disease-gene associations through self-supervised mutual infomax graph convolution network von Xie, Jiancong, Rao, Jiahua, Xie, Junjie, Zhao, Huiying, Yang, Yuedong

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Quantitative evaluation of explainable graph neural networks for molecular property prediction von Rao, Jiahua, Zheng, Shuangjia, Lu, Yutong, Yang, Yuedong

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Accurate prediction of genome-wide RNA secondary structure profile based on extreme gradient boosting von Ke, Yaobin, Rao, Jiahua, Zhao, Huiying, Lu, Yutong, Xiao, Nong, Yang, Yuedong

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Integrating supercomputing and artificial intelligence for life science von Rao, Jiahua, Zheng, Shuangjia, Yang, Yuedong

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VCAT: an integrated variant function annotation tools von Huang, Bi, Fan, Cong, Chen, Ken, Rao, Jiahua, Ou, Peihua, Tian, Chong, Yang, Yuedong, Cooper, David N., Zhao, Huiying

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Deep generative design of RNA aptamers using structural predictions von Wong, Felix, He, Dongchen, Krishnan, Aarti, Hong, Liang, Wang, Alexander Z., Wang, Jiuming, Hu, Zhihang, Omori, Satotaka, Li, Alicia, Rao, Jiahua, Yu, Qinze, Jin, Wengong, Zhang, Tianqing, Ilia, Katherine, Chen, Jack X., Zheng, Shuangjia, King, Irwin, Li, Yu, Collins, James J.

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Retrieval-based Knowledge Augmented Vision Language Pre-training von Rao, Jiahua, Shan, Zifei, Liu, Longpo, Zhou, Yao, Yang, Yuedong

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Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property Prediction von Rao, Jiahua, Zheng, Shuangjia, Yang, Yuedong

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Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks von Rao, Jiahua, Xie, Jiancong, Lin, Hanjing, Zheng, Shuangjia, Wang, Zhen, Yang, Yuedong

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Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction von Rao, Jiahua, Zheng, Shuangjia, Mai, Sijie, Yang, Yuedong

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Learning Attributed Graph Representations with Communicative Message Passing Transformer von Chen, Jianwen, Zheng, Shuangjia, Song, Ying, Rao, Jiahua, Yang, Yuedong

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