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Self-supervised Graph Learning for Recommendation

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020

21 October 2020

Xing Xie

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Papers citing "Self-supervised Graph Learning for Recommendation"

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Title
Frequency-aware Graph Signal Processing for Collaborative Filtering Jiafeng Xia Dongsheng Li Hansu Gu Tun Lu Peng Zhang Li Shang Ning Gu 183 3 0 13 Feb 2024
Modeling Balanced Explicit and Implicit Relations with Contrastive Learning for Knowledge Concept Recommendation in MOOCs Hengnian Gu Zhiyi Duan Pan Xie Dongdai Zhou AI4Ed 148 4 0 13 Feb 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders Yijun Tian Chuxu Zhang Ziyi Kou Zheyuan Liu Xiangliang Zhang Nitesh Chawla 200 3 0 12 Feb 2024
Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation Yangxun Ou Lei Chen Fenglin Pan Yupeng Wu 179 4 0 03 Feb 2024
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 631 6 0 31 Jan 2024
RecDCL: Dual Contrastive Learning for Recommendation Dan Zhang Yangliao Geng Wenwen Gong Chen Ma Zhiyu Chen Xing Tang Ying Shan Yuxiao Dong Jie Tang 185 50 0 28 Jan 2024
EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile Vu Hong Quan Le Hoang Ngan Le Minh Duc Nguyen Tran Ngoc Linh Hoang-Quynh Le 125 0 0 18 Jan 2024
QoS-Aware Graph Contrastive Learning for Web Service Recommendation Jeongwhan Choi Duksan Ryu 100 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 168 3 0 27 Dec 2023
BSL: Understanding and Improving Softmax Loss for Recommendation Junkang Wu Jiawei Chen Jiancan Wu Wentao Shi Jizhi Zhang Xiang Wang 177 9 0 20 Dec 2023
Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report) Dong Li Ruoming Jin Bin Ren 176 5 0 13 Dec 2023
(Debiased) Contrastive Learning Loss for Recommendation (Technical Report) Ruoming Jin Dong Li 149 0 0 13 Dec 2023
Rethinking and Simplifying Bootstrapped Graph LatentsWeb Search and Data Mining (WSDM), 2023 Wangbin Sun Jintang Li Liang Chen Bingzhe Wu Yatao Bian Zibin Zheng 179 17 0 05 Dec 2023
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning AttacksKnowledge Discovery and Data Mining (KDD), 2023 Zongwei Wang Junliang Yu Min Gao Hongzhi Yin Tengjiao Wang S. Sadiq AAML 177 12 0 30 Nov 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond Xiangguo Sun Jiawen Zhang Xixi Wu Hong Cheng Yun Xiong Jia Li 776 83 0 28 Nov 2023
A Social-aware Gaussian Pre-trained Model for Effective Cold-start RecommendationInformation Processing & Management (IPM), 2023 Siwei Liu Xi Wang Craig Macdonald I. Ounis 168 13 0 27 Nov 2023
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation Yuting Liu Enneng Yang Yizhou Dang Guibing Guo Qiang Liu Yuliang Liang Linying Jiang Xingwei Wang 170 12 0 10 Nov 2023
Contrastive Multi-Level Graph Neural Networks for Session-based RecommendationIEEE transactions on multimedia (IEEE TMM), 2023 F. Wang Xingyu Gao Zhenyu Chen Lei Lyu 114 16 0 06 Nov 2023
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2023 Mingjia Yin Hao Wang Xiang Xu Likang Wu Zhengye Zhang Wei Guo Yong Liu Ruiming Tang Defu Lian Enhong Chen LMTD AI4TS HAI 196 35 0 06 Nov 2023
LightSAGE: Graph Neural Networks for Large Scale Item Retrieval in Shopee's Advertisement RecommendationACM Conference on Recommender Systems (RecSys), 2023 Dang Minh Nguyen Chenfei Wang Yan Shen Yifan Zeng GNN 108 7 0 30 Oct 2023
Embedding in Recommender Systems: A Survey Maolin Wang Xinjian Zhao Xinjian Zhao Jiansheng Li Shucheng Zhou ... Shucheng Zhou D. Yin Qing Li Ruocheng Guo Xiangyu Zhao AI4TS 250 28 0 28 Oct 2023
Representation Learning with Large Language Models for RecommendationThe Web Conference (WWW), 2023 Xubin Ren Wei Wei Lianghao Xia Lixin Su Suqi Cheng Junfeng Wang D. Yin Chao Huang 361 294 0 24 Oct 2023
Topology-aware Debiased Self-supervised Graph Learning for RecommendationIEEE International Conference on Systems, Man and Cybernetics (SMC), 2023 Leiqian Han Hui Yan Zhicheng Qiao 178 1 0 24 Oct 2023
Unified Pretraining for Recommendation via Task Hypergraphs Mingdai Yang Zhiwei Liu Liangwei Yang Xiao-lin Liu Chen Wang Hao Peng Philip S. Yu 175 16 0 20 Oct 2023
Robust Collaborative Filtering to Popularity Distribution Shift An Zhang Wenchang Ma Jingnan Zheng Xiang Wang Tat-Seng Chua 232 36 0 16 Oct 2023
Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum HeatingThe Web Conference (WWW), 2023 Hyunsik Jeon Jong-eun Lee Jeongin Yun U. Kang 179 17 0 05 Oct 2023
TDCGL: Two-Level Debiased Contrastive Graph Learning for RecommendationIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2023 Yubo Gao Haotian Wu 83 0 0 01 Oct 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global InformationJournal of the American Statistical Association (JASA), 2023 Wenzhuo Zhou Annie Qu Keiland W Cooper Norbert Fortin Babak Shahbaba 243 2 0 23 Sep 2023
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation Haibo Ye Xinjie Li Xingtai Lv Hanghang Tong 133 4 0 23 Sep 2023
Long-tail Augmented Graph Contrastive Learning for Recommendation Qian Zhao Zhengwei Wu Qing Cui Jun Zhou 89 10 0 20 Sep 2023
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach Dong Li Divya Bhargavi V. Ravipati 261 6 0 06 Sep 2023
IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation Dezhao Yang Jianghong Ma Shanshan Feng Haijun Zhang Zhao Zhang 198 1 0 30 Aug 2023
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender SystemsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Peiyan Zhang Yuchen Yan Xi Zhang Chaozhuo Li Senzhang Wang Feiran Huang Sunghun Kim 296 48 0 28 Aug 2023
Test Time Embedding Normalization for Popularity Bias MitigationInternational Conference on Information and Knowledge Management (CIKM), 2023 Dain Kim Jinhyeok Park Dongwoo Kim 164 12 0 22 Aug 2023
How Expressive are Graph Neural Networks in Recommendation?International Conference on Information and Knowledge Management (CIKM), 2023 Xuheng Cai Lianghao Xia Xubin Ren Chao Huang 271 7 0 22 Aug 2023
Decentralized Graph Neural Network for Privacy-Preserving RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2023 Xiaolin Zheng Zhongyu Wang Chaochao Chen Jiashu Qian Yao Yang FedML 104 10 0 15 Aug 2023
Toward a Better Understanding of Loss Functions for Collaborative FilteringInternational Conference on Information and Knowledge Management (CIKM), 2023 Seongmin Park Mincheol Yoon Jae-woong Lee Hogun Park Jongwuk Lee 165 17 0 11 Aug 2023
SSLRec: A Self-Supervised Learning Framework for RecommendationWeb Search and Data Mining (WSDM), 2023 Xubin Ren Lianghao Xia Yuhao Yang Wei Wei Tianle Wang Xuheng Cai Chao Huang 191 51 0 10 Aug 2023
Bootstrapping Contrastive Learning Enhanced Music Cold-Start MatchingThe Web Conference (WWW), 2023 Xinping Zhao Y. Zhang Qiang Xiao Yuming Ren Yingchun Yang 75 6 0 05 Aug 2023
Graph Contrastive Learning with Generative Adversarial NetworkKnowledge Discovery and Data Mining (KDD), 2023 Cheng Wu Chao-Hong Wang Jingcao Xu Ziyang Liu Kai Zheng Xiaowei Wang Yang Song Kun Gai GAN 206 29 0 01 Aug 2023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven AnalysisACM Conference on Recommender Systems (RecSys), 2023 Vito Walter Anelli Daniele Malitesta Claudio Pomo Alejandro Bellogín Tommaso Di Noia E. Sciascio 252 17 0 01 Aug 2023
Sharpness-Aware Graph Collaborative FilteringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Huiyuan Chen Chin-Chia Michael Yeh Yujie Fan Yan Zheng Junpeng Wang Vivian Lai Mahashweta Das Hao Yang 145 6 0 18 Jul 2023
Efficient and Joint Hyperparameter and Architecture Search for Collaborative FilteringKnowledge Discovery and Data Mining (KDD), 2023 Yan-Dong Wen Chen Gao Lingling Yi Liwei Qiu Yaqing Wang Yong Li 137 7 0 12 Jul 2023
Contrastive Learning for Conversion Rate PredictionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 W. Ouyang Rui Dong Xiuwu Zhang Chao Guo Jinmei Luo Xiangzheng Liu Yanlong Du 77 2 0 12 Jul 2023
Knowledge Graph Self-Supervised Rationalization for RecommendationKnowledge Discovery and Data Mining (KDD), 2023 Yuhao Yang Chao Huang Lianghao Xia Chunzhen Huang 213 139 0 06 Jul 2023
Dimension Independent Mixup for Hard Negative Sample in Collaborative FilteringInternational Conference on Information and Knowledge Management (CIKM), 2023 Xi Wu Liangwei Yang Jibing Gong Chao Zhou Tianyu Lin Xiao-lin Liu Philip S. Yu 130 10 0 28 Jun 2023
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item RecommendationACM Conference on Recommender Systems (RecSys), 2023 Dongyuan Li Liangwei Yang Chen Wang Zhiwei Liu Hao Peng Chenyu You Philip S. Yu 105 27 0 26 Jun 2023
Recent Developments in Recommender Systems: A SurveyIEEE Computational Intelligence Magazine (IEEE CIM), 2023 Yang Li Kangbo Liu Frank Xing Suhang Wang Erik Cambria OffRL 205 55 0 22 Jun 2023
COURIER: Contrastive User Intention Reconstruction for Large-Scale Visual Recommendation Jia-Qi Yang Chen Dai OU Dan Dongshuai Li Ju Huang De-Chuan Zhan Xiaoyi Zeng Yang Yang 237 5 0 08 Jun 2023
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations Eli J. Laird Ayesh Madushanka E. Kraka Corey Clark 134 1 0 07 Jun 2023