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Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning

13 February 2022

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Papers citing "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning"

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Title
Pre-training for Recommendation Unlearning Guoxuan Chen Lianghao Xia Chao Huang MU OnRL 14 1 0 28 May 2025
Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems Eya Mhedhbi Youssef Mourchid Alice Othmani 54 0 0 08 Apr 2025
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios Yixin Su Wei Jiang Fangquan Lin Cheng Yang S. Erfani Junhao Gan Yunxiang Zhao Ruixuan Li Rui-Xun Zhang CML 152 0 0 05 Mar 2025
Contrastive Representation for Interactive Recommendation Jingyu Li Zhiyong Feng Dongxiao He Hongqi Chen Qinghang Gao Guoli Wu 71 0 0 24 Dec 2024
Coherence-guided Preference Disentanglement for Cross-domain Recommendations Zongyi Xiang Yan Zhang Lixin Duan Hongzhi Yin Ivor W. Tsang 23 1 0 27 Oct 2024
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation Tianrui Song Wenshuo Chao Hao Liu 58 4 0 16 Sep 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective Siyi Lin Chongming Gao Jiawei Chen Sheng Zhou Binbin Hu Yan Feng Chun-Yen Chen Can Wang 165 8 0 18 Apr 2024
A Comprehensive Survey on Self-Supervised Learning for Recommendation Xubin Ren Wei Wei Lianghao Xia Chao Huang SSL 129 14 0 04 Apr 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 84 5 0 27 Mar 2024
Causal Learning for Trustworthy Recommender Systems: A Survey Jin Li Shoujin Wang Qi Zhang LongBing Cao Fang Chen Xiuzhen Zhang Dietmar Jannach Charu C. Aggarwal CML 83 1 0 13 Feb 2024
Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation Yangxun Ou Lei Chen Fenglin Pan Yupeng Wu 42 1 0 03 Feb 2024
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph Yanming Hu Chuan Chen Bowen Deng Yujing Lai Hao Lin Zibin Zheng Jing Bian 85 3 0 11 Apr 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation Xuheng Cai Chao Huang Lianghao Xia Xubin Ren 87 222 0 16 Feb 2023
Adap- $τ$ : Adaptively Modulating Embedding Magnitude for Recommendation Jiawei Chen Junkang Wu Jiancan Wu Sheng Zhou Xuezhi Cao Xiangnan He 117 33 0 09 Feb 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation Taewook Ko Yoonhyuk Choi Chong-Kwon Kim 68 3 0 12 Jan 2023
Code Recommendation for Open Source Software Developers Yiqiao Jin Yunsheng Bai Yanqiao Zhu Yizhou Sun Wei Wang 97 24 0 15 Oct 2022
Towards Universal Sequence Representation Learning for Recommender Systems Yupeng Hou Shanlei Mu Wayne Xin Zhao Yaliang Li Bolin Ding Ji-Rong Wen AI4TS 88 213 0 13 Jun 2022
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space Yupeng Hou Binbin Hu Qing Cui Wayne Xin Zhao 85 100 0 23 Apr 2022
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric Xing Xiaodan Liang 92 88 0 17 Jun 2021
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 254 1,310 0 10 Jun 2020