Federated Social Recommendation with Graph Neural Network

ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021

21 November 2021

Philip S. Yu

Papers citing "Federated Social Recommendation with Graph Neural Network"

47 / 47 papers shown

Title
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Lincan Li Bolin Shen Chenxi Zhao Yuxiang Sun Kaixiang Zhao Shirui Pan Yushun Dong 144 1 0 27 Aug 2025
A Comprehensive Data-centric Overview of Federated Graph Learning Zhengyu Wu X. Li Yinlin Zhu Zekai Chen Guochen Yan ... Hao Zhang Yuming Ai X. Jin Rong-Hua Li Guoren Wang FedML AI4CE 212 0 0 22 Jul 2025
Federated Latent Factor Learning for Recovering Wireless Sensor Networks Signal with Privacy-Preserving Chengjun Yu Yixin Ran Yangyi Xia Jia Wu Xiaojing Liu 210 1 0 22 Apr 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 965 35 0 10 Mar 2025
Co-clustering for Federated Recommender SystemThe Web Conference (WWW), 2024 Xinrui He Shuo Liu J. Keung Jingrui He FedML 191 29 0 03 Nov 2024
Federated Graph Learning for Cross-Domain RecommendationNeural Information Processing Systems (NeurIPS), 2024 Ziqi Yang Zhaopeng Peng Zihui Wang Jianzhong Qi Chaochao Chen Weike Pan Chenglu Wen Cheng-Yu Wang Xiaoliang Fan FedML 156 10 0 10 Oct 2024
Mitigating Propensity Bias of Large Language Models for Recommender Systems Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 238 22 0 30 Sep 2024
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Liancheng Fang Philip S. Yu GNN 208 7 0 26 Jul 2024
Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks Yuwen Wang Shunyu Liu Tongya Zheng Kaixuan Chen Mingli Song AI4CE 190 8 0 02 Jul 2024
HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph LearningKnowledge Discovery and Data Mining (KDD), 2024 Zhuoning Guo Duanyi Yao Qiang Yang Hao Liu FedML 214 8 0 15 Jun 2024
Robustness Inspired Graph Backdoor DefenseInternational Conference on Learning Representations (ICLR), 2024 Zhiwei Zhang Minhua Lin Junjie Xu Zongyu Wu Enyan Dai Suhang Wang AAML 137 0 0 14 Jun 2024
Privacy-preserving recommender system using the data collaboration analysis for distributed datasets Tomoya Yanagi Shunnosuke Ikeda Noriyoshi Sukegawa Yuichi Takano FedML 170 8 0 24 May 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh Chawla Wenlin Yao 232 10 0 17 May 2024
Rethinking Graph Backdoor Attacks: A Distribution-Preserving PerspectiveKnowledge Discovery and Data Mining (KDD), 2024 Zhiwei Zhang Min Lin Enyan Dai Suhang Wang AAML 226 27 0 17 May 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 342 20 0 05 Mar 2024
FedGTA: Topology-aware Averaging for Federated Graph LearningProceedings of the VLDB Endowment (PVLDB), 2023 Miao Hu Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 183 39 0 22 Jan 2024
FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph EnhancementGrid and Pervasive Computing (GPC), 2024 Dezhong Yao Tongtong Liu Qi Cao Hai Jin 165 8 0 20 Jan 2024
GraphScope Flex: LEGO-like Graph Computing Stack Tao He Shuxian Hu Longbin Lai Dongze Li Neng Li ... Lei Zhang Siyuan Zhang Jingren Zhou Xiaolin Zhou Diwen Zhu GNN 134 7 0 19 Dec 2023
Data Scarcity in Recommendation Systems: A Survey Zefeng Chen Wensheng Gan Jiayang Wu Kaixia Hu Hong Lin 207 46 0 08 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 265 32 0 27 Nov 2023
Federated Heterogeneous Graph Neural Network for Privacy-preserving RecommendationThe Web Conference (WWW), 2023 Bo Yan Yang Cao Haoyu Wang Wenchuan Yang Junping Du Chuan Shi FedML 247 46 0 18 Oct 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated LearningNeural Information Processing Systems (NeurIPS), 2023 Zhiqin Yang Yonggang Zhang Yuxiang Zheng Xinmei Tian Hao Peng Tongliang Liu Bo Han FedML 173 109 0 08 Oct 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu Wang Olivera Kotevska Philip S. Yu Hanyu Wang 250 26 0 31 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
Label Inference Attacks against Node-level Vertical Federated GNNs Marco Arazzi Mauro Conti Stefanos Koffas Marina Krček Antonino Nocera S. Picek Jing Xu FedML AAML 231 1 0 04 Aug 2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework Guowei Wu Weike Pan Zhong Ming FedML 119 4 0 25 Jul 2023
Personalized Federated Domain Adaptation for Item-to-Item RecommendationConference on Uncertainty in Artificial Intelligence (UAI), 2023 Ziwei Fan Hao Ding Hao Ding T. Hoang 182 8 0 05 Jun 2023
Turning Privacy-preserving Mechanisms against Federated LearningConference on Computer and Communications Security (CCS), 2023 Marco Arazzi Mauro Conti Antonino Nocera S. Picek AAML FedML 114 20 0 09 May 2023
Graph Collaborative Signals Denoising and Augmentation for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Ziwei Fan Ke Xu Zhang Dong Hao Peng Jiawei Zhang Philip S. Yu 101 63 0 06 Apr 2023
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot DetectionThe Web Conference (WWW), 2023 Yingguang Yang Renyu Yang Hao Peng Yangyang Li Tong Li Yong Liao Pengyuan Zhou FedML 214 35 0 10 Mar 2023
Federated Recommendation with Additive PersonalizationInternational Conference on Learning Representations (ICLR), 2023 Zhiwei Li Guodong Long Tianyi Zhou FedML 230 33 0 22 Jan 2023
Dual Personalization on Federated RecommendationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Chunxu Zhang Guodong Long Tianyi Zhou Peng Yan Zijian Zhang Chengqi Zhang Bo Yang FedML 157 57 0 16 Jan 2023
Faithful and Consistent Graph Neural Network Explanations with Rationale AlignmentACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023 Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang 296 9 0 07 Jan 2023
Episodes Discovery Recommendation with Multi-Source Augmentations Ziwei Fan Alice Wang Zahra Nazari AI4TS 216 3 0 04 Jan 2023
A Survey on Federated Recommendation SystemsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Zehua Sun Yonghui Xu Wenshu Fan Weiliang He Lanju Kong Fangzhao Wu Yiheng Jiang Li-zhen Cui FedML 218 94 0 27 Dec 2022
A Survey of Graph Neural Networks for Social Recommender SystemsACM Computing Surveys (ACM CSUR), 2022 Kartik Sharma Yeon-Chang Lee S. Nambi Aditya Salian Shlok Shah Sang-Wook Kim Srijan Kumar 267 187 0 08 Dec 2022
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer Ziwei Fan Zhiwei Liu Chen Wang Peijie Huang Hao Peng Philip S. Yu 218 8 0 24 Oct 2022
Cross-Network Social User Embedding with Hybrid Differential Privacy GuaranteesInternational Conference on Information and Knowledge Management (CIKM), 2022 Jiaqian Ren Lei Jiang Hao Peng Lingjuan Lyu Zhiwei Liu Chaochao Chen Hongzhi Zhang Xu Bai Philip S. Yu 109 16 0 04 Sep 2022
Trustworthy Recommender SystemsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 Shoujin Wang Xiuzhen Zhang Yan Wang Huan Liu Francesco Ricci 167 90 0 10 Aug 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and ApplicationsSIGKDD Explorations (SIGKDD Explor.), 2022 Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 278 55 0 24 Jul 2022
Personalized Subgraph Federated LearningInternational Conference on Machine Learning (ICML), 2022 Jinheon Baek Wonyong Jeong Jiongdao Jin Jaehong Yoon Sung Ju Hwang FedML 253 80 0 21 Jun 2022
Trustworthy Graph Neural Networks: Aspects, Methods and TrendsProceedings of the IEEE (Proc. IEEE), 2022 He Zhang Bang Wu Lizhen Qu Shirui Pan Hanghang Tong Jian Pei 312 147 0 16 May 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and ExplainabilityMachine Intelligence Research (MIR), 2022 Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Shucheng Zhou Suhang Wang 298 186 0 18 Apr 2022
GAP: Differentially Private Graph Neural Networks with Aggregation PerturbationUSENIX Security Symposium (USENIX Security), 2022 Sina Sajadmanesh Ali Shahin Shamsabadi A. Bellet D. Gática-Pérez 227 92 0 02 Mar 2022
Federated Graph Neural Networks: Overview, Techniques and ChallengesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 R. Liu Pengwei Xing Zichao Deng Anran Li Cuntai Guan Han Yu FedML 255 129 0 15 Feb 2022
Sequential Recommendation via Stochastic Self-AttentionThe Web Conference (WWW), 2022 Ziwei Fan Zhiwei Liu Alice Wang Zahra Nazari Lei Zheng Hao Peng Philip S. Yu AI4TS 278 176 0 16 Jan 2022
Emerging Trends in Federated Learning: From Model Fusion to Federated X LearningInternational Journal of Machine Learning and Cybernetics (IJMLC), 2021 Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 478 109 0 25 Feb 2021