FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling J Chen, T Ma, C Xiao 6th International Conference on Learning Representations (ICLR' 18), 2018 | 1831 | 2018 |
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review C Xiao, E Choi, J Sun Journal of the American Medical Informatics Association (JAMIA), 2018 | 801 | 2018 |
Patient subtyping via time-aware LSTM networks IM Baytas, C Xiao, X Zhang, F Wang, AK Jain, J Zhou Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 745 | 2017 |
Opportunities and Challenges in Deep Learning Methods on Electrocardiogram Data: A Systematic Review S Hong, Y Zhou, J Shang, C Xiao, J Sun Computers in Biology and Medicine, 2020 | 454 | 2020 |
DeepPurpose: a deep learning library for drug–target interaction prediction K Huang, T Fu, LM Glass, M Zitnik, C Xiao, J Sun Bioinformatics 36 (22-23), 5545-5547, 2020 | 369 | 2020 |
MolTrans: Molecular interaction transformer for drug target interaction prediction K Huang, C Xiao, L Glass, J Sun Bioinformatics, 2020 | 325 | 2020 |
Pre-training of Graph Augmented Transformers for Medication Recommendation J Shang, T Ma, C Xiao, J Sun IJCAI'19, 2019 | 307 | 2019 |
Therapeutics data commons: Machine learning datasets and tasks for drug discovery and development K Huang, T Fu, W Gao, Y Zhao, Y Roohani, J Leskovec, CW Coley, ... arXiv preprint arXiv:2102.09548, 2021 | 293 | 2021 |
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare E Choi, C Xiao, W Stewart, J Sun NIPS 2018, 2018 | 282 | 2018 |
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders T Ma, J Chen, C Xiao NIPS 2018, 2018 | 272 | 2018 |
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination J Shang, C Xiao, T Ma, H Li, J Sun Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019 | 261 | 2019 |
Detecting clusters of fake accounts in online social networks C Xiao, DM Freeman, T Hwa Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security …, 2015 | 226 | 2015 |
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders T Ma, C Xiao, J Zhou, F Wang International Joint Conferences on Artificial Intelligence (IJCAI), 2018 | 199 | 2018 |
Hitanet: Hierarchical time-aware attention networks for risk prediction on electronic health records J Luo, M Ye, C Xiao, F Ma Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 188 | 2020 |
Data-driven subtyping of Parkinson’s disease using longitudinal clinical records: a cohort study X Zhang, J Chou, J Liang, C Xiao, Y Zhao, H Sarva, C Henchcliffe, ... Scientific reports 9 (1), 797, 2019 | 164 | 2019 |
An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. C Che, C Xiao, J Liang, B Jin, J Zhou, F Wang SIAM International Conference on Data Mining (SDM 17), 2017 | 161 | 2017 |
SkipGNN: predicting molecular interactions with skip-graph networks K Huang, C Xiao, LM Glass, M Zitnik, J Sun Scientific reports 10 (1), 21092, 2020 | 143 | 2020 |
Readmission prediction via deep contextual embedding of clinical concepts C Xiao, T Ma, AB Dieng, DM Blei, F Wang PLoS One 13 (4), e0195024, 2018 | 136 | 2018 |
CASTER: Predicting Drug Interaction with Chemical Substructure Representation K Huang, C Xiao, N Hoang, L Glass, J Sun AAAI' 20, 2020 | 134 | 2020 |
Stan: Spatio-temporal attention network for pandemic prediction using real world evidence J Gao, R Sharma, C Qian, LM Glass, J Spaeder, J Romberg, J Sun, ... Journal of the American Medical Informatics Association (JAMIA), 2020 | 129 | 2020 |