Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning

13 February 2022

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

21 / 21 papers shown

Title
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 74 0 0 05 Mar 2025
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation Tianrui Song Wenshuo Chao Hao Liu 32 3 0 16 Sep 2024
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity Yukui Hou Jin-Duk Park Won-Yong Shin 26 13 0 22 Apr 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 26 6 0 18 Apr 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 40 4 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 39 1 0 13 Feb 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 44 2 0 27 Dec 2023
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks Zongwei Wang Junliang Yu Min Gao Hongzhi Yin Bin Cui S. Sadiq AAML 34 7 0 30 Nov 2023
Neural Graph Collaborative Filtering Using Variational Inference Narges Sadat Fazeli Dehkordi Hadi Zare P. Moradi Mahdi Jalili 6 0 0 20 Nov 2023
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation Haibo Ye Xinjie Li Yuan Yao Hanghang Tong 41 0 0 23 Sep 2023
IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation Dezhao Yang Jianghong Ma Shanshan Feng Haijun Zhang Zhao Zhang 23 0 0 30 Aug 2023
Sharpness-Aware Graph Collaborative Filtering Huiyuan Chen Chin-Chia Michael Yeh Yujie Fan Yan Zheng Junpeng Wang Vivian Lai Mahashweta Das Hao Yang 29 5 0 18 Jul 2023
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 27 1 0 11 Apr 2023
Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs Maolin Luo Xiang Zhang 16 0 0 03 Apr 2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation Guoqiang Sun Yibin Shen Sijing Zhou Xiang Chen Hongyan Liu Chunming Wu Chenyi Lei Xianhui Wei Fei Fang 20 10 0 28 Feb 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation Xuheng Cai Chao Huang Lianghao Xia Xubin Ren 24 198 0 16 Feb 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation Taewook Ko Yoonhyuk Choi Chong-Kwon Kim 28 3 0 12 Jan 2023
Code Recommendation for Open Source Software Developers Yiqiao Jin Yunsheng Bai Yanqiao Zhu Yizhou Sun Wei Wang 33 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 24 198 0 13 Jun 2022
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space Yupeng Hou Binbin Hu Qing Cui Wayne Xin Zhao 19 95 0 23 Apr 2022
Prototypical Graph Contrastive Learning Shuai Lin Pan Zhou Zi-Yuan Hu Shuojia Wang Ruihui Zhao Yefeng Zheng Liang Lin Eric P. Xing Xiaodan Liang 24 86 0 17 Jun 2021