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Causal Inference in Recommender Systems: A Survey and Future Directions


Aug 26, 2022
Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li

* Under peer review 

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KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos


Aug 23, 2022
Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He

* CIKM '22 Resource Paper. Dataset Webpage: https://kuairand.com 

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Parameterization of Cross-Token Relations with Relative Positional Encoding for Vision MLP


Jul 15, 2022
Zhicai Wang, Yanbin Hao, Xingyu Gao, Hao Zhang, Shuo Wang, Tingting Mu, Xiangnan He


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Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network


Jul 14, 2022
Weijian Chen, Yixin Cao, Fuli Feng, Xiangnan He, Yongdong Zhang

* The manuscript under review 

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LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization


Jun 23, 2022
Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li


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Let Invariant Rationale Discovery Inspire Graph Contrastive Learning


Jun 16, 2022
Sihang Li, Xiang Wang, An zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua

* Graph contrastive Learning, Invariant Rationale Discovery, ICML2022 

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Differentiable Invariant Causal Discovery


Jun 01, 2022
Yu Wang, An Zhang, Xiang Wang, Xiangnan He, Tat-Seng Chua

* 22 pages, 11 figures 

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GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation


May 20, 2022
Jiajia Chen, Xin Xin, Xianfeng Liang, Xiangnan He, Jun Liu

* Accepted by IEEE Transactions on Knowledge and Data Engineering 

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Mitigating Hidden Confounding Effects for Causal Recommendation


May 16, 2022
Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He


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Addressing Confounding Feature Issue for Causal Recommendation


May 13, 2022
Xiangnan He, Yang Zhang, Fuli Feng, Chonggang Song, Lingling Yi, Guohui Ling, Yongdong Zhang


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