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Change Matters: Medication Change Prediction with Recurrent Residual Networks


May 05, 2021
Chaoqi Yang, Cao Xiao, Lucas Glass, Jimeng Sun

* Accepted in IJCAI'21, this is the long version with appendix 

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SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations


May 05, 2021
Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun

* Accepted in IJCAI 2021, this is the full version with appendix 

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SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models


Mar 05, 2021
Zhen Lin, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun


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PyHealth: A Python Library for Health Predictive Models


Jan 11, 2021
Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun


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Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification


Jun 17, 2020
Rakshith S Srinivasa, Cao Xiao, Lucas Glass, Justin Romberg, Jimeng Sun

* Submitted to NeurIPS 2020 

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SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks


Apr 30, 2020
Kexin Huang, Cao Xiao, Lucas Glass, Marinka Zitnik, Jimeng Sun


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MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction


Apr 23, 2020
Kexin Huang, Cao Xiao, Lucas Glass, Jimeng Sun


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DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit


Apr 19, 2020
Kexin Huang, Tianfan Fu, Cao Xiao, Lucas Glass, Jimeng Sun


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Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model


Jul 01, 2019
Fan Zhang, Tong Wu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

* 5 pages, 3 figures, accepted by ICML 2019 Time Series Workshop 

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Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks


Jul 01, 2019
Kezi Yu, Yunlong Wang, Yong Cai, Cao Xiao, Emily Zhao, Lucas Glass, Jimeng Sun

* International Conference on Machine Learning (ICML) 2019 time series workshop accepted paper 

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