Learning Individual Causal Effects from Networked Observational Data

Learning Individual Causal Effects from Networked Observational Data

8 June 2019

Huan Liu

Papers citing "Learning Individual Causal Effects from Networked Observational Data"

19 / 19 papers shown

Title
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 53 2 0 25 Oct 2024
Causal GNNs: A GNN-Driven Instrumental Variable Approach for Causal Inference in Networks Xiaojing Du Feiyu Yang Wentao Gao Xiongren Chen CML 40 1 0 13 Sep 2024
Conformal Counterfactual Inference under Hidden Confounding Zonghao Chen Ruocheng Guo Jean-François Ton Yang Liu CML OffRL 50 2 0 20 May 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning Weilin Chen Ruichu Cai Zeqin Yang Jie Qiao Yuguang Yan Zijian Li Zhifeng Hao CML 44 7 0 06 May 2024
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling Dingyuan Zhu Daixin Wang Qing Cui Kun Kuang Yan Zhang Yulin Kang Jun Zhou 40 3 0 11 Mar 2024
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection Jing Ma Chen Chen A. Vullikanti Ritwick Mishra Gregory R. Madden Daniel Borrajo Jundong Li CML 33 4 0 17 Jul 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 59 141 0 11 Apr 2023
Continual Causal Inference with Incremental Observational Data Zhixuan Chu Ruopeng Li S. Rathbun Sheng Li CML 43 14 0 03 Mar 2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders Defu Cao James Enouen Yong-Jin Liu CML 35 2 0 19 Feb 2023
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 44 21 0 25 Nov 2022
Learning Individual Treatment Effects under Heterogeneous Interference in Networks Ziyu Zhao Yuqi Bai Kun Kuang Ruoxuan Xiong Fei Wu CML 24 6 0 25 Oct 2022
Learning Causal Effects on Hypergraphs Jing Ma Mengting Wan Longqi Yang Jundong Li Brent J. Hecht J. Teevan CML 27 48 0 07 Jul 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists M. Vowels CML 32 2 0 10 Jun 2022
Estimating Social Influence from Observational Data Dhanya Sridhar Caterina De Bacco David M. Blei 32 3 0 24 Mar 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 24 51 0 07 Feb 2022
Heterogeneous Peer Effects in the Linear Threshold Model Christopher Tran Elena Zheleva 19 10 0 27 Jan 2022
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data Ruocheng Guo Jundong Li Huan Liu CML OffRL 33 21 0 22 Dec 2019
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 32 168 0 25 Sep 2018
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 719 0 12 May 2016