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

Xing Xie

ArXiv (abs)PDF HTML Github (174★)

Papers citing "Self-supervised Graph Learning for Recommendation"

50 / 281 papers shown

Title
Disentangling and Generating Modalities for Recommendation in Missing Modality ScenariosAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Jiwan Kim Hongseok Kang Sein Kim Kibum Kim Chanyoung Park 268 1 0 23 Apr 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for RecommendationACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) (TOMM), 2025 Xu Guo Tong Zhang Fuyun Wang Xudong Wang Wei Wei Xin Liu Zhen Cui 265 3 0 23 Apr 2025
Intent-aware Diffusion with Contrastive Learning for Sequential RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Yuanpeng Qu Hajime Nobuhara DiffM AI4TS 194 4 0 22 Apr 2025
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided CalibrationWeb Search and Data Mining (WSDM), 2025 Haoyang Li Hanwen Du You Li Junchen Fu Chunxiao Li Ziyi Zhuang Jiakang Li Yongxin Ni AI4TS 167 1 0 19 Apr 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code SelectionThe Web Conference (WWW), 2025 Long Zeng Jianxiang Yu Jiapeng Zhu Qingsong Zhong Xiang Li 187 6 0 17 Apr 2025
Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative FilteringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Xicheng Zhang Yiwen Zhang Yi-cui Zhang Lei Sang Yun-Feng Yang 157 2 0 14 Apr 2025
Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space Klaudia Balcer Piotr Lipinski 191 0 0 14 Apr 2025
Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender SystemsInternational Conference on Computational Social Networks (ICCSN), 2025 Eya Mhedhbi Youssef Mourchid Alice Othmani 134 0 0 08 Apr 2025
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative FilteringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Zheyu Chen Jinfeng Xu Yutong Wei Ziyue Peng 134 10 0 06 Apr 2025
Pre-training Generative Recommender with Multi-Identifier Item Tokenization Bowen Zheng Enze Liu Zhongfu Chen Zhongrui Ma Yue Wang Wayne Xin Zhao Ji-Rong Wen 374 3 0 06 Apr 2025
SymCERE: Symmetric Contrastive Learning for Robust Review-Enhanced Recommendation Toyotaro Suzumura Toyotaro Suzumura H. Kanezashi Md. Mostafizur Rahman Yu Hirate 65 0 0 03 Apr 2025
Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias Miaomiao Cai Lei Chen Yifan Wang Zhiyong Cheng Min Zhang Meng Wang 219 0 0 30 Mar 2025
RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation Xi Wu Dan Zhang Chao Zhou Liangwei Yang Tianyu Lin Jibing Gong 161 0 0 24 Mar 2025
Rankformer: A Graph Transformer for Recommendation based on Ranking ObjectiveThe Web Conference (WWW), 2025 Sirui Chen Shen Han Jiawei Chen Binbin Hu Sheng Zhou Gang Wang Yan Feng Chong Chen C. Wang OffRL 213 2 0 21 Mar 2025
ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation) Alejandro Ariza-Casabona Nikos Kanakaris Daniele Malitesta 182 0 0 20 Mar 2025
Diffusion-augmented Graph Contrastive Learning for Collaborative Filter Fan Huang Wei Wang DiffM 169 1 0 20 Mar 2025
Variational Bayesian Personalized Ranking Bin Liu Xiaohong Liu Q. Luo Ziqiao Shang Jielei Chu Lin Ma Zhaoyu Li Fei Teng Guoquan Zheng Tianrui Li 283 0 0 14 Mar 2025
SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation Ziqiang Cui Yunpeng Weng Xing Tang Xiaokun Zhang Dugang Liu ... Peiyang Liu Bowei He Weihong Luo Xiuqiang He Chen Ma AI4TS 288 1 0 06 Mar 2025
Subgraph Federated Learning for Local GeneralizationInternational Conference on Learning Representations (ICLR), 2025 Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 245 4 0 06 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 441 2 0 05 Mar 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation Weizhi Zhang Liangwei Yang Wooseong Yang Henry Peng Zou Yuqing Liu Ke Xu Sourav Medya Philip S. Yu 237 5 0 03 Mar 2025
SuperRAG: Beyond RAG with Layout-Aware Graph ModelingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025 Jeff Yang Duy-Khanh Vu Minh-Tien Nguyen Xuan-Quang Nguyen Linh Nguyen H. Le 3DV 204 28 0 28 Feb 2025
Dynamic Knowledge Selector and Evaluator for recommendation with Knowledge Graph Feng Xia Zhifei Hu 191 0 0 24 Feb 2025
Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation Jinyu Zhang Chao Li Zhongying Zhao 257 2 0 21 Feb 2025
Cross-View Graph Consistency Learning for Invariant Graph RepresentationsAAAI Conference on Artificial Intelligence (AAAI), 2023 Jie Chen Zhiming Li Hua Mao Wai Lok Woo Xi Peng 309 1 0 20 Feb 2025
Unleashing the Power of Large Language Model for Denoising RecommendationThe Web Conference (WWW), 2025 Shuyao Wang Zhi Zheng Yongduo Sui Hui Xiong 319 7 0 13 Feb 2025
Flow Matching for Collaborative Filtering Chengkai Liu Yangtian Zhang Jianling Wang Rex Ying James Caverlee 185 0 0 11 Feb 2025
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models Rui Cai Chao Wang Qianyi Cai Dazhong Shen Hui Xiong RALM 261 0 0 06 Feb 2025
Personalized Denoising Implicit Feedback for Robust Recommender SystemThe Web Conference (WWW), 2025 Kaike Zhang Qi Cao Yunfan Wu Fei Sun Huawei Shen Xueqi Cheng NoLa 290 7 0 01 Feb 2025
Secure Federated Graph-Filtering for Recommender Systems Julien Nicolas César Sabater Mohamed Maouche Sonia Ben Mokhtar Mark Coates FedML 90 0 0 28 Jan 2025
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion ModelThe Web Conference (WWW), 2025 Chu Zhao Enneng Yang Yuliang Liang Jianzhe Zhao G. Guo Xingwei Wang 204 6 0 28 Jan 2025
A Contrastive Framework with User, Item and Review Alignment for RecommendationWeb Search and Data Mining (WSDM), 2025 Hoang V. Dong Yuan Fang Hady W. Lauw 613 6 0 21 Jan 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical AnalysisACM Transactions on Knowledge Discovery from Data (TKDD), 2024 Lanling Xu Junjie Zhang Bingqian Li Jinpeng Wang Sheng Chen Wayne Xin Zhao Ji-Rong Wen 358 24 0 17 Jan 2025
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation Qiang Liu Zhaopeng Qiu Xiangyu Zhao X. Wu Zijian Zhang Tong Xu Feng Tian 330 5 0 31 Dec 2024
Contrastive Representation for Interactive RecommendationAAAI Conference on Artificial Intelligence (AAAI), 2024 Jingyu Li Zhiyong Feng Dongxiao He Hongqi Chen Qinghang Gao Guoli Wu 235 0 0 24 Dec 2024
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2024 Zheng Hu Zhe Li Ziyun Jiao Satoshi Nakagawa Jiawen Deng Shimin Cai Tao Zhou Fuji Ren RALM 192 10 0 18 Dec 2024
MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced InterpretationKnowledge Discovery and Data Mining (KDD), 2024 Zheyuan Zhang Zehong Wang Tianyi Ma Varun Sameer Taneja Sofia Nelson ... Keerthiram Murugesan Mingxuan Ju Nitesh Chawla Chuxu Zhang Yanfang Ye 177 21 0 12 Dec 2024
ContextGNN: Beyond Two-Tower Recommendation SystemsInternational Conference on Learning Representations (ICLR), 2024 Yiwen Yuan Zecheng Zhang Xinwei He Akihiro Nitta Weihua Hu ... Blaž Stojanovič Alan Krumholz J. E. Lenssen J. Leskovec Matthias Fey 202 13 0 29 Nov 2024
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation LearningExpert systems with applications (ESWA), 2024 Jiawei E Yinglong Zhang Xuewen Xia Xing Xu 185 3 0 23 Nov 2024
DeBaTeR: Denoising Bipartite Temporal Graph for Recommendation Xinyu He Jose Sepulveda Mostafa Rahmani Alyssa Woo Fei Wang Hanghang Tong 205 0 0 14 Nov 2024
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion Xiang Li Changsheng Shui Yanwei Yu Chao Huang Zhongying Zhao 229 0 0 02 Nov 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for RecommendationNeural Information Processing Systems (NeurIPS), 2024 Weiqin Yang Jiawei Chen Xin Xin Sheng Zhou Binbin Hu Yan Feng Chong Chen Can Wang 341 7 0 31 Oct 2024
FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Wei Chen Meng Yuan Zhao Zhang Ruobing Xie Fuzhen Zhuang Deqing Wang Rui Liu 198 2 0 23 Oct 2024
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain RecommendationWISE (WISE), 2024 Junxiong Tong Mingjia Yin Hao Wang Qiushi Pan Defu Lian Enhong Chen 122 2 0 08 Oct 2024
Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes Kelvin J.L. Koa Yunshan Ma Ritchie Ng Ritchie Ng Huanhuan Zheng Tat-Seng Chua AIFin 127 3 0 07 Oct 2024
Mitigating Propensity Bias of Large Language Models for Recommender Systems Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 222 20 0 30 Sep 2024
Enhancing Recommendation with Denoising Auxiliary TaskJournal of Computational Science and Technology (JCST), 2024 Pengsheng Liu Linan Zheng Jiale Chen Guangfa Zhang Yang Xu Jinyun Fang NoLa 130 1 0 25 Sep 2024
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation Tianrui Song Wenshuo Chao Hao Liu 209 7 0 16 Sep 2024
Multi-intent Aware Contrastive Learning for Sequential RecommendationInternational Conference on Artificial Neural Networks (ICANN), 2024 Junshu Huang Zi Long Xianghua Fu Yin Chen HAI 104 0 0 13 Sep 2024
CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems Jin-Duk Park Kyung-Min Kim Won-Yong Shin KELM CLL 195 7 0 25 Aug 2024