LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

16 February 2023

Xuheng Cai

Chao Huang

Lianghao Xia

Xubin Ren

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Papers citing "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"

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Title
Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning Yuhan Liu Lin Ning Neo Wu Karan Singhal Philip Mansfield D. Berlowitz Sushant Prakash Bradley Green SSL 54 0 0 02 May 2025
Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering Y. Zhang Yiwen Zhang Yi-cui Zhang Lei Sang Yun-Feng Yang 29 0 0 14 Apr 2025
Federated Prototype Graph Learning Zhengyu Wu Xunkai Li Y. X. Zhu R. Li Guoren Wang Chenghu Zhou FedML 43 0 0 13 Apr 2025
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering Zheyu Chen Jinfeng Xu Yutong Wei Ziyue Peng 24 0 0 06 Apr 2025
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective Sirui Chen Shen Han Jiawei Chen Binbin Hu Sheng Zhou Gang Wang Yan Feng C. L. P. Chen C. Wang OffRL 46 0 0 21 Mar 2025
Variational Bayesian Personalized Ranking Bin Liu Xiaohong Liu Q. Luo Ziqiao Shang Jielei Chu Lin Ma Zhaoyu Li Fei Teng Guangtao Zhai Tianrui Li 50 0 0 14 Mar 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 65 0 0 05 Mar 2025
Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs Yushi Feng Tsai Hor Chan Guosheng Yin Lequan Yu 42 1 0 20 Feb 2025
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model Chu Zhao Enneng Yang Yuliang Liang Jianzhe Zhao G. Guo Xingwei Wang 32 1 0 28 Jan 2025
OpenGU: A Comprehensive Benchmark for Graph Unlearning Bowen Fan Yuming Ai Xunkai Li Zhilin Guo Rong-Hua Li Guoren Wang MU 43 0 0 06 Jan 2025
Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs Gyeongmin Gu Minseo Jeon Hyun-Je Song Jinhong Jung 29 0 0 25 Dec 2024
ContextGNN: Beyond Two-Tower Recommendation Systems Yiwen Yuan Zecheng Zhang Xinwei He Akihiro Nitta Weihua Hu ... Blaž Stojanovič Alan Krumholz J. E. Lenssen J. Leskovec Matthias Fey 62 4 0 29 Nov 2024
DiRW: Path-Aware Digraph Learning for Heterophily Daohan Su Xunkai Li Zhenjun Li Yinping Liao Rong-Hua Li Guoren Wang 35 1 0 14 Oct 2024
Eco-Aware Graph Neural Networks for Sustainable Recommendations Antonio Purificato Fabrizio Silvestri 26 3 0 12 Oct 2024
Mitigating Propensity Bias of Large Language Models for Recommender Systems Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 44 2 0 30 Sep 2024
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation Chu Zhao Enneng Yang Yuliang Liang Jianzhe Zhao Guibing Guo Xingwei Wang 27 1 0 03 Aug 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation Chu Zhao Enneng Yang Yuliang Liang Pengxiang Lan Yuting Liu Jianzhe Zhao Guibing Guo Xingwei Wang OOD DiffM CML 51 5 0 01 Aug 2024
Heterogeneous Hypergraph Embedding for Recommendation Systems Darnbi Sakong Viet Hung Vu T. T. Huynh Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen Thanh Tam Nguyen 23 0 0 04 Jul 2024
Commute Graph Neural Networks Wei Zhuo Han Yu Guang Tan Xiaoxiao Li GNN 92 1 0 30 Jun 2024
Towards Graph Contrastive Learning: A Survey and Beyond Wei Ju Yifan Wang Yifang Qin Zhengyan Mao Zhiping Xiao ... Dongjie Wang Qingqing Long Siyu Yi Xiao Luo Ming Zhang 59 12 0 20 May 2024
Mixed Supervised Graph Contrastive Learning for Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Yuanjie Zhu Philip S. Yu 24 2 0 24 Apr 2024
A Comprehensive Survey on Self-Supervised Learning for Recommendation Xubin Ren Wei Wei Lianghao Xia Chao Huang SSL 34 9 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 40 4 0 27 Mar 2024
MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning Huiyu Xiong Lanxiao Wang Heqian Qiu Taijin Zhao Benliu Qiu Hongliang Li CLL 25 1 0 27 Feb 2024
User-LLM: Efficient LLM Contextualization with User Embeddings Lin Ning Luyang Liu Jiaxing Wu Neo Wu D. Berlowitz Sushant Prakash Bradley Green S. O’Banion Jun Xie 49 33 0 21 Feb 2024
From Variability to Stability: Advancing RecSys Benchmarking Practices Valeriy Shevchenko Nikita Belousov Alexey Vasilev Vladimir Zholobov Artyom Sosedka Natalia Semenova Anna Volodkevich Andrey Savchenko Alexey Zaytsev 27 6 0 15 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning Xunkai Li Jingyuan Ma Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 28 11 0 09 Feb 2024
Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation Yangxun Ou Lei Chen Fenglin Pan Yupeng Wu 19 1 0 03 Feb 2024
RecDCL: Dual Contrastive Learning for Recommendation Dan Zhang Yangliao Geng Wenwen Gong Zhongang Qi Zhiyu Chen Xing Tang Ying Shan Yuxiao Dong Jie Tang 35 24 0 28 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Xunkai Li Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 38 7 0 22 Jan 2024
QoS-Aware Graph Contrastive Learning for Web Service Recommendation Jeongwhan Choi Duksan Ryu 25 2 0 06 Jan 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 41 2 0 27 Dec 2023
BSL: Understanding and Improving Softmax Loss for Recommendation Junkang Wu Jiawei Chen Jiancan Wu Wentao Shi Jizhi Zhang Xiang Wang 14 5 0 20 Dec 2023
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning Shengzhong Zhang Wenjie Yang Xinyuan Cao Hongwei Zhang Zengfeng Huang 24 2 0 08 Dec 2023
GraphPro: Graph Pre-training and Prompt Learning for Recommendation Yuhao Yang Lianghao Xia Da Luo Kangyi Lin Chao Huang AI4CE 42 15 0 28 Nov 2023
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation Mingjia Yin Hao Wang Xiang Xu Likang Wu Sirui Zhao Wei Guo Yong Liu Ruiming Tang Defu Lian Enhong Chen LMTD AI4TS HAI 35 25 0 06 Nov 2023
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations Tsai Hor Chan Kin Wai Lau Jiajun Shen Guosheng Yin Lequan Yu UQCV OOD 11 2 0 25 Oct 2023
Representation Learning with Large Language Models for Recommendation Xubin Ren Wei Wei Lianghao Xia Lixin Su Suqi Cheng Junfeng Wang Dawei Yin Chao Huang 34 154 0 24 Oct 2023
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning Yuxiang Wang Xiao Yan Chuang Hu Fangcheng Fu Wentao Zhang Hao Wang Shuo Shang Jiawei Jiang SSL 42 6 0 24 Oct 2023
Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating Hyunsik Jeon Jong-eun Lee Jeongin Yun U. Kang 17 7 0 05 Oct 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Xia Hu 47 0 0 29 Sep 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels Jingyang Yuan Xiao Luo Yifang Qin Zhengyan Mao Wei Ju Ming Zhang AAML 26 18 0 26 Sep 2023
Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation Pavan Seshadri Peter Knees 12 5 0 20 Sep 2023
IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation Dezhao Yang Jianghong Ma Shanshan Feng Haijun Zhang Zhao Zhang 18 0 0 30 Aug 2023
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases Zhenghao Liu Senkun Mei Chenyan Xiong Xiaohua Li Shi Yu Zhiyuan Liu Yu Gu Ge Yu 25 20 0 27 Aug 2023
How Expressive are Graph Neural Networks in Recommendation? Xuheng Cai Lianghao Xia Xubin Ren Chao Huang 29 6 0 22 Aug 2023
Toward a Better Understanding of Loss Functions for Collaborative Filtering Seongmin Park Mincheol Yoon Jae-woong Lee Hogun Park Jongwuk Lee 26 14 0 11 Aug 2023
SSLRec: A Self-Supervised Learning Framework for Recommendation Xubin Ren Lianghao Xia Yuhao Yang Wei Wei Tianle Wang Xuheng Cai Chao Huang 28 33 0 10 Aug 2023
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering Jae-woong Lee Seongmin Park Mincheol Yoon Jongwuk Lee 25 7 0 22 May 2023
Graph Masked Autoencoder for Sequential Recommendation Yaowen Ye Lianghao Xia Chao Huang 25 38 0 08 May 2023