Be Causal: De-biasing Social Network Confounding in Recommendation

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Be Causal: De-biasing Social Network Confounding in Recommendation

17 May 2021

Xiang-jian Wang

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Papers citing "Be Causal: De-biasing Social Network Confounding in Recommendation"

9 / 9 papers shown

Title
Invariant debiasing learning for recommendation via biased imputation Ting Bai Weijie Chen Cheng Yang C. Shi 518 2 0 28 Dec 2024
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation Zhaoyang Chu Yao Wan Qian Li Yang Wu Hongyu Zhang Yulei Sui Guandong Xu Hai Jin AAML 103 12 0 24 Apr 2024
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation Jiajie Zhu Yan Wang Feng Zhu Zhu Sun CML 167 2 0 17 Apr 2024
Causal Disentanglement for Regulating Social Influence Bias in Social Recommendation Li Wang Min Xu Quangui Zhang Yunxiao Shi Qiang Wu CML 96 3 0 06 Mar 2024
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation Chenxu Wang Fuli Feng Yang Zhang Qifan Wang Xu Hu Xiangnan He 96 8 0 22 Sep 2022
Reinforced Path Reasoning for Counterfactual Explainable Recommendation Xiang-jian Wang Qian Li Dianer Yu Guandong Xu CML LRM 70 16 0 14 Jul 2022
Causal Disentanglement with Network Information for Debiased Recommendations Paras Sheth Ruocheng Guo Lu Cheng Huan Liu K. S. Candan CML 47 17 0 14 Apr 2022
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation Xiang-jian Wang Qian Li Dianer Yu Peng Cui Zhichao Wang Guandong Xu CML 105 31 0 05 Feb 2022
Deep Treatment-Adaptive Network for Causal Inference Qian Li Zhichao Wang Shaowu Liu Gang Li Guandong Xu CML BDL OOD 70 10 0 27 Dec 2021