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Self-supervised Graph Learning for Recommendation
v1v2v3v4 (latest)

Self-supervised Graph Learning for Recommendation

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
21 October 2020
Jiancan Wu
Xiang Wang
Fuli Feng
Xiangnan He
Liang Chen
Jianxun Lian
Xing Xie
    SSL
ArXiv (abs)PDFHTMLGithub (174★)

Papers citing "Self-supervised Graph Learning for Recommendation"

50 / 281 papers shown
Title
Democratic Recommendation with User and Item Representatives Produced by Graph Condensation
Democratic Recommendation with User and Item Representatives Produced by Graph Condensation
Jiahao Liang
Haoran Yang
Xiangyu Zhao
Zhiwen Yu
Guandong Xu
Wanyu Wang
Kaixiang Yang
28
0
0
23 Nov 2025
PersonalizedRouter: Personalized LLM Routing via Graph-based User Preference Modeling
PersonalizedRouter: Personalized LLM Routing via Graph-based User Preference Modeling
Zhongjie Dai
Tao Feng
Jiaxuan You
41
0
0
21 Nov 2025
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation LearningACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024
Miaomiao Cai
Min Hou
Lei Chen
Le Wu
Haoyue Bai
Yong Li
Meng Wang
29
19
0
17 Nov 2025
Task-Aware Retrieval Augmentation for Dynamic Recommendation
Task-Aware Retrieval Augmentation for Dynamic Recommendation
Zhen Tao
Xinke Jiang
Qingshuai Feng
Haoyu Zhang
Lun Du
Yuchen Fang
Hao Miao
Bangquan Xie
Qingqiang Sun
61
0
0
16 Nov 2025
Continuous-time Discrete-space Diffusion Model for Recommendation
Continuous-time Discrete-space Diffusion Model for Recommendation
Chengyi Liu
Xiao Chen
Shijie Wang
Wenqi Fan
Qing Li
32
1
0
15 Nov 2025
Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization
Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization
Yu Hou
Hua Li
H. Kim
Won-Yong Shin
104
0
0
10 Nov 2025
Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models
Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models
Tianrui Song
Wen-Shuo Chao
Hao Liu
194
0
0
10 Nov 2025
Denoised Recommendation Model with Collaborative Signal Decoupling
Denoised Recommendation Model with Collaborative Signal Decoupling
Zefeng Li
Ning Yang
45
0
0
06 Nov 2025
Rethinking LLM Human Simulation: When a Graph is What You Need
Rethinking LLM Human Simulation: When a Graph is What You Need
Joseph Suh
Suhong Moon
Serina Chang
AI4CE
89
0
0
03 Nov 2025
Structurally Refined Graph Transformer for Multimodal Recommendation
Structurally Refined Graph Transformer for Multimodal Recommendation
Ke Shi
Yan Zhang
Miao Zhang
Lifan Chen
Jiali Yi
Kui Xiao
Xiaoju Hou
Zhifei Li
OffRL
88
0
0
01 Nov 2025
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals
Doyun Choi
Cheonwoo Lee
Jaemin Yoo
107
0
0
01 Nov 2025
MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation
MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation
Xiaoyu Kong
Leheng Sheng
Junfei Tan
Yuxin Chen
Jiancan Wu
An Zhang
Xiang Wang
Xiangnan He
77
0
0
28 Oct 2025
Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
Chanyoung Chung
Kyeongryul Lee
Sunbin Park
Joyce Jiyoung Whang
HAI
52
0
0
21 Oct 2025
Post-hoc Popularity Bias Correction in GNN-based Collaborative Filtering
Post-hoc Popularity Bias Correction in GNN-based Collaborative Filtering
Md Aminul Islam
Elena Zheleva
Ren Wang
64
0
0
14 Oct 2025
Reinforced Preference Optimization for Recommendation
Reinforced Preference Optimization for Recommendation
Junfei Tan
Yuxin Chen
An Zhang
Junguang Jiang
Yinan Han
Ziru Xu
Han Zhu
Jian Xu
Bo Zheng
Xiang-Bin Wang
OffRL
162
1
0
14 Oct 2025
Multi-Granularity Sequence Denoising with Weakly Supervised Signal for Sequential Recommendation
Multi-Granularity Sequence Denoising with Weakly Supervised Signal for Sequential Recommendation
Liang Li
Zhou Yang
Xiaofei Zhu
NoLaHAIAI4TS
126
0
0
12 Oct 2025
Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation
Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled PropagationProceedings of the VLDB Endowment (PVLDB), 2025
Yanping Zheng
Zhewei Wei
Frank de Hoog
Xu Chen
Hongteng Xu
Yuhang Ye
Jiadeng Huang
109
0
0
11 Oct 2025
Generative Data Augmentation in Graph Contrastive Learning for Recommendation
Generative Data Augmentation in Graph Contrastive Learning for Recommendation
Yansong Wang
Qihui Lin
Junjie Huang
Tao Jia
54
0
0
10 Oct 2025
Bridging Collaborative Filtering and Large Language Models with Dynamic Alignment, Multimodal Fusion and Evidence-grounded Explanations
Bridging Collaborative Filtering and Large Language Models with Dynamic Alignment, Multimodal Fusion and Evidence-grounded Explanations
Bo Ma
LuYao Liu
Simon Lau
Chandler Yuan
and XueY Cui
Rosie Zhang
56
0
0
02 Oct 2025
Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
Guoqing Hu
An Liu
Wenyu Mao
Jiancan Wu
Xun Yang
Xiang Li
Lantao Hu
Han Li
Kun Gai
Xiang-Bin Wang
104
0
0
30 Sep 2025
Understanding Embedding Scaling in Collaborative Filtering
Understanding Embedding Scaling in Collaborative Filtering
Zhuangzhuang He
Zhou Kaiyu
Haoyue Bai
Fengbin Zhu
Yonghui Yang
109
0
0
19 Sep 2025
SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation
SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation
Binhao Wang
Yutian Xiao
Xinjian Zhao
Zhiqi Li
Tianshuo Wei
Ruocheng Guo
Xiangyu Zhao
112
0
0
14 Sep 2025
Federated Recommender System with Data Valuation for E-commerce Platform
Federated Recommender System with Data Valuation for E-commerce PlatformExpert systems with applications (ESWA), 2025
Jongwon Park
Minku Kang
Wooseok Sim
Soyoung Lee
Hogun Park
FedML
136
1
0
14 Sep 2025
Hybrid Matrix Factorization Based Graph Contrastive Learning for Recommendation System
Hybrid Matrix Factorization Based Graph Contrastive Learning for Recommendation System
Hao Chen
Wenming Ma
Zihao Chu
Mingqi Li
74
0
0
05 Sep 2025
The Hidden Cost of Defaults in Recommender System Evaluation
The Hidden Cost of Defaults in Recommender System EvaluationACM Conference on Recommender Systems (RecSys), 2025
Hannah Berlin
Robin Svahn
Alan Said
OffRL
60
0
0
28 Aug 2025
Who Is Lagging Behind: Profiling Student Behaviors with Graph-Level Encoding in Curriculum-Based Online Learning Systems
Who Is Lagging Behind: Profiling Student Behaviors with Graph-Level Encoding in Curriculum-Based Online Learning Systems
Qian Xiao
Conn Breathnach
Ioana Ghergulescu
Conor O'Sullivan
Keith Johnston
Vincent Wade
AI4Ed
144
0
0
26 Aug 2025
Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation
Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation
Tianjun Wei
Huizhong Guo
Yingpeng Du
Zhu Sun
Chen Huang
Dongxia Wang
Jie Zhang
ALM
60
0
0
25 Aug 2025
A Node-Aware Dynamic Quantization Approach for Graph Collaborative Filtering
A Node-Aware Dynamic Quantization Approach for Graph Collaborative Filtering
Lin Li
Chunyang Li
Yu Yin
Xiaohui Tao
Jianwei Zhang
GNN
96
0
0
22 Aug 2025
Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation
Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation
Shouxing Ma
Yawen Zeng
Shiqing Wu
Guandong Xu
72
0
0
19 Aug 2025
LLM-Enhanced Linear Autoencoders for Recommendation
LLM-Enhanced Linear Autoencoders for Recommendation
Jaewan Moon
Seongmin Park
Jongwuk Lee
104
0
0
19 Aug 2025
Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation
Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation
M. Y. Wang
Yunhang He
Cong Xu
Zhangchi Zhu
Wei-Qiang Zhang
VLM
67
0
0
14 Aug 2025
On Negative-aware Preference Optimization for Recommendation
On Negative-aware Preference Optimization for Recommendation
Chenlu Ding
Daoxuan Liu
Jiancan Wu
Xingyu Hu
Junkang Wu
Haitao Wang
Yongkang Wang
Xingxing Wang
Xiang Wang
68
0
0
13 Aug 2025
SPARC: Soft Probabilistic Adaptive multi-interest Retrieval Model via Codebooks for recommender system
SPARC: Soft Probabilistic Adaptive multi-interest Retrieval Model via Codebooks for recommender system
Jialiang Shi
Yaguang Dou
Tian Qi
153
0
0
12 Aug 2025
Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation
Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation
Teng Shi
Weijie Yu
Xiao Zhang
Ming He
Jianping Fan
Jun Xu
78
1
0
06 Aug 2025
VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
Minh-Anh Nguyen
Bao Nguyen
Ha Lan N.T.
Tuan-Anh Hoang
Duc-Trong Le
Dung D. Le
163
0
0
29 Jul 2025
Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items
Multi-modal Relational Item Representation Learning for Inferring Substitutable and Complementary Items
Junting Wang
Chenghuan Guo
Jiyan Yang
Yanhui Guo
Yan Gao
Hari Sundaram
90
0
0
29 Jul 2025
Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems
Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems
Zhaoyan Wang
Hyunjun Ahn
In-Young Ko
68
0
0
28 Jul 2025
PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
Mohammad Naeimi
Mostafa Haghir Chehreghani
186
0
0
25 Jul 2025
User Invariant Preference Learning for Multi-Behavior Recommendation
User Invariant Preference Learning for Multi-Behavior Recommendation
Mingshi Yan
Zhiyong Cheng
Fan Liu
Yingda Lyu
Yahong Han
61
0
0
20 Jul 2025
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation
Penglong Zhai
Yifang Yuan
Fanyi Di
Jie Li
Y. Liu
Chen Li
Jie Huang
S. Wang
Yao Xu
X. Li
155
1
0
20 Jun 2025
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based SolutionAAAI Conference on Artificial Intelligence (AAAI), 2025
Shengjia Zhang
Jiawei Chen
Changdong Li
Sheng Zhou
Qihao Shi
Yan Feng
Chun-Yen Chen
C. Wang
157
1
0
18 Jun 2025
Collaborative Interest-aware Graph Learning for Group Identification
Collaborative Interest-aware Graph Learning for Group Identification
Rui Zhao
Beihong Jin
Beibei Li
Yiyuan Zheng
93
0
0
13 Jun 2025
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation
Narges Nemati
Mostafa Haghir Chehreghani
264
0
0
12 Jun 2025
Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL
Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL
Aravinda Jatavallabha
Prabhanjan Bharadwaj
Ashish Chander
78
0
0
28 May 2025
Pre-training for Recommendation Unlearning
Pre-training for Recommendation UnlearningAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Guoxuan Chen
Lianghao Xia
Chao Huang
MUOnRL
197
1
0
28 May 2025
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering
Xurong Liang
Tong Chen
Wei Yuan
Hongzhi Yin
126
0
0
25 May 2025
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
Shengyin Sun
Chen Ma
326
7
0
13 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Graph Spectral Filtering with Chebyshev Interpolation for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Chanwoo Kim
Jinkyu Sung
Yebonn Han
Joonseok Lee
GNN
265
5
0
01 May 2025
Algorithm Performance Spaces for Strategic Dataset Selection
Algorithm Performance Spaces for Strategic Dataset Selection
Steffen Schulz
176
0
0
29 Apr 2025
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language EmbeddingsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Guoqing Hu
An Zhang
Shuo Liu
Zhibo Cai
Xun Yang
Xiang Wang
267
4
0
27 Apr 2025
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