| Predicting retrosynthetic reactions using self-corrected transformer neural networks S Zheng*, J Rao*, Z Zhang, J Xu, Y Yang Journal of Chemical Information and Modeling 60 (1), 47-55, 2019 | 199 | 2019 |
| PharmKG: a dedicated knowledge graph benchmark for bomedical data mining S Zheng*, J Rao*, Y Song, J Zhang, X Xiao, EF Fang, Y Yang, Z Niu Briefings in Bioinformatics, 2020 | 97 | 2020 |
| Integrating multi-omics data through deep learning for accurate cancer prognosis prediction H Chai, X Zhou, Z Zhang, J Rao, H Zhao, Y Yang Computers in biology and medicine 134, 104481, 2021 | 93* | 2021 |
| Tankbind: Trigonometry-aware neural networks for drug-protein binding structure prediction W Lu, Q Wu, J Zhang, J Rao, C Li, S Zheng Advances in neural information processing systems 35, 7236-7249, 2022 | 92 | 2022 |
| Imputing single-cell RNA-seq data by combining graph convolution and autoencoder neural networks J Rao, X Zhou, Y Lu, H Zhao, Y Yang Iscience 24 (5), 2021 | 69 | 2021 |
| AlphaFold2-aware protein–DNA binding site prediction using graph transformer Q Yuan, S Chen, J Rao, S Zheng, H Zhao, Y Yang Briefings in bioinformatics 23 (2), bbab564, 2022 | 56 | 2022 |
| Accurately clustering single-cell RNA-seq data by capturing structural relations between cells through graph convolutional network Y Zeng, X Zhou, J Rao, Y Lu, Y Yang 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 44 | 2020 |
| Learning attributed graph representations with communicative message passing transformer J Chen, S Zheng, Y Song, J Rao, Y Yang IJCAI-21 (International Joint Conferences on Artificial Intelligence), 2021 | 38 | 2021 |
| Quantitative evaluation of explainable graph neural networks for molecular property prediction J Rao, S Zheng, Y Lu, Y Yang Patterns, 100628, 2022 | 33 | 2022 |
| Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction J Rao, S Zheng, S Mai, Y Yang Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 9 | 2022 |
| Accurate prediction of genome-wide RNA secondary structure profile based on extreme gradient boosting Y Ke, J Rao, H Zhao, Y Lu, N Xiao, Y Yang Bioinformatics 36 (17), 4576-4582, 2020 | 9 | 2020 |
| Tankbind: Trigonometry-aware neural networks for drug-protein binding structure prediction. bioRxiv W Lu, Q Wu, J Zhang, J Rao, C Li, S Zheng Published online June 6, 2022 | 7 | 2022 |
| Retrieval-based Knowledge Augmented Vision Language Pre-training J Rao, Z Shan, L Liu, Y Zhou, Y Yang Proceedings of the 31st ACM International Conference on Multimedia, Pages …, 2023 | 4 | 2023 |
| MolRep: A deep representation learning library for molecular property prediction J Rao, S Zheng, Y Song, J Chen, C Li, J Xie, H Yang, H Chen, Y Yang bioRxiv, 2021.01. 13.426489, 2021 | 4 | 2021 |
| Cross-modal Graph Contrastive Learning with Cellular Images S Zheng*, J Rao*, J Zhang, C Li, Y Yang bioRxiv, 2022 | 3 | 2022 |
| Gene based message passing for drug repurposing Y Wang, Z Li, J Rao, Y Yang, Z Dai Iscience 26 (9), 2023 | 2 | 2023 |
| Imputing DNA Methylation by Transferred Learning Based Neural Network XF Wang, X Zhou, JH Rao, ZJ Zhang, YD Yang Journal of Computer Science and Technology 37 (2), 320-329, 2022 | 2 | 2022 |
| Integrating supercomputing and artificial intelligence for life science J Rao, S Zheng, Y Yang Patterns 3 (12), 2022 | 1 | 2022 |
| A Variational Expectation-Maximization Framework for Balanced Multi-scale Learning of Protein and Drug Interactions Y Yang, J Rao, J Xie, Q Yuan, D Liu, Z Wang, Y Lu, S Zheng | | 2024 |
| Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph J Xie, Y Wang, J Rao, S Zheng, Y Yang Journal of Chemical Information and Modeling, 2024 | | 2024 |
Yuedong YangSchool of Computer Science and Engineering, Sun Yat-sen UniversityDirección de correo verificada de mail.sysu.edu.cn
