| REDDA: Integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction Y Gu, S Zheng, Q Yin, R Jiang, J Li Computers in biology and medicine 150, 106127, 2022 | 36 | 2022 |
| Prediction of post-stroke urinary tract infection risk in immobile patients using machine learning: an observational cohort study C Zhu*, Z Xu*, Y Gu, S Zheng, X Sun, J Cao, B Song, J Jin, Y Liu, X Wen, ... Journal of Hospital Infection 122, 96-107, 2022 | 29 | 2022 |
| Predicting drug ADMET properties based on graph attention network Y Gu, B Zhang, S Zheng, F Yang, J Li Data Analysis and Knowledge Discovery 5 (8), 76-85, 2021 | 16* | 2021 |
| An efficient curriculum learning-based strategy for molecular graph learning Y Gu, S Zheng, Z Xu, Q Yin, L Li, J Li Briefings in bioinformatics 23 (3), bbac099, 2022 | 15 | 2022 |
| Drug–disease association prediction with literature based multi-feature fusion H Kang, L Hou, Y Gu, X Lu, J Li, Q Li Frontiers in Pharmacology 14, 1205144, 2023 | 11 | 2023 |
| MGREL: A multi-graph representation learning-based ensemble learning method for gene-disease association prediction Z Wang*, Y Gu*, S Zheng, L Yang, J Li Computers in Biology and Medicine 155, 106642, 2023 | 10 | 2023 |
| CurrMG: A curriculum learning approach for graph based molecular property prediction Y Gu, S Zheng, J Li 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 8 | 2021 |
| Prediction of medical disputes between health care workers and patients in terms of hospital legal construction using machine learning techniques: externally validated cross … M Yi, Y Cao, L Wang, Y Gu, X Zheng, J Wang, W Chen, L Wei, Y Zhou, ... Journal of Medical Internet Research 25, e46854, 2023 | 6 | 2023 |
| Employing Molecular Conformations for Ligand-Based Virtual Screening with Equivariant Graph Neural Network and Deep Multiple Instance Learning Y Gu, J Li, H Kang, B Zhang, S Zheng Molecules 28 (16), 5982, 2023 | 6 | 2023 |
| Milgnet: a multi-instance learning-based heterogeneous graph network for drug repositioning Y Gu, S Zheng, B Zhang, H Kang, J Li 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 6 | 2022 |
| Study on tumour cell-derived hybrid exosomes as dasatinib nanocarriers for pancreatic cancer therapy X Zhou, Y Zhuang, X Liu, Y Gu, J Wang, Y Shi, L Zhang, R Li, Y Zhao, ... Artificial Cells, Nanomedicine, and Biotechnology 51 (1), 532-546, 2023 | 5 | 2023 |
| Comparison of mortality predictive models of sepsis patients based on machine learning Z Wang, Y Lan, Z Xu, Y Gu, J Li Chinese Medical Sciences Journal 37 (3), 201-210, 2022 | 3 | 2022 |
| Developing a Siamese Network for UTIs Risk Prediction in Immobile Patients Undergoing Stroke. Z Xu, C Zhu, Y Gu, S Zheng, X Sun, J Cao, X Wu, J Li MedInfo, 714-718, 2021 | 3 | 2021 |
| GNN-MTB: An Anti-Mycobacterium Drug Virtual Screening Model Based on Graph Neural Network G Yaowen, Z Si, Y Fengchun, L Jiao Data Analysis and Knowledge Discovery 6 (11), 93-102, 2023 | 1 | 2023 |
| Empowering Graph Neural Network-Based Computational Drug Repositioning with Large Language Model-Inferred Knowledge Representation Y Gu, Z Xu, C Yang Interdisciplinary Sciences: Computational Life Sciences, 1-18, 2024 | | 2024 |
| Developing a Personalized Meal Recommendation System for Chinese Older Adults: Observational Cohort Study Z Xu, Y Gu, X Xu, M Topaz, Z Guo, H Kang, L Sun, J Li JMIR Formative Research 8 (1), e52170, 2024 | | 2024 |
| Characteristics and Admission Preferences of Pediatric Emergency Patients and Their Waiting Time Prediction Using Electronic Medical Record Data: Retrospective Comparative Analysis LL Guo, LY Guo, J Li, YW Gu, JY Wang, Y Cui, Q Qian, T Chen, R Jiang, ... Journal of Medical Internet Research 25, e49605, 2023 | | 2023 |
| 基于多特征融合的药物疾病关联预测模型构建 康宏宇， 李勤， 李姣， 顾耀文， 侯丽 中国生物医学工程学报 42 (4), 453-460, 2023 | | 2023 |
| 基于无监督深度学习的电子健康档案数据挖掘技术研究进展 顾耀文， 李姣 医学信息学杂志 43 (1), 34-40, 2022 | | 2022 |
Xu ZiduColumbia University in the City of New York在 cumc.columbia.edu 的电子邮件经过验证
