Interpretable Disease Prediction based on Reinforcement Path Reasoning
over Knowledge Graphs

Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs

16 October 2020

Zhengxing Huang

Papers citing "Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs"

13 / 13 papers shown

Title
Reinforced Negative Sampling over Knowledge Graph for Recommendation Xiang Wang Yaokun Xu Xiangnan He Yixin Cao Meng Wang Tat-Seng Chua OffRL 51 183 0 12 Mar 2020
A Survey on Knowledge Graph-Based Recommender Systems Qingyu Guo Fuzhen Zhuang Chuan Qin Hengshu Zhu Xing Xie Hui Xiong Qing He 134 743 0 28 Feb 2020
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation Yikun Xian Zuohui Fu S. Muthukrishnan Gerard de Melo Yongfeng Zhang 74 464 0 12 Jun 2019
A Tutorial on Bayesian Optimization P. Frazier GP 104 1,782 0 08 Jul 2018
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems Hongwei Wang Fuzheng Zhang Jialin Wang Miao Zhao Wenjie Li Xing Xie Minyi Guo 76 1,047 0 09 Mar 2018
Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach Theodora S. Brisimi Tingting Xu Taiyao Wang Wuyang Dai W. Adams I. Paschalidis 28 70 0 03 Jan 2018
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis B. Shickel P. Tighe A. Bihorac Parisa Rashidi BDL 84 1,113 0 12 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,815 0 22 May 2017
GRAM: Graph-based Attention Model for Healthcare Representation Learning Edward Choi M. T. Bahadori Le Song Walter F. Stewart Jimeng Sun GNN 94 675 0 21 Nov 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism Edward Choi M. T. Bahadori Joshua A. Kulas A. Schuetz Walter F. Stewart Jimeng Sun AI4TS 109 1,244 0 19 Aug 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 735 38,858 0 09 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.1K 16,931 0 16 Feb 2016
Embedding Entities and Relations for Learning and Inference in Knowledge Bases Bishan Yang Wen-tau Yih Xiaodong He Jianfeng Gao Li Deng NAI 93 3,192 0 20 Dec 2014