Graph Neural Networks in Recommender Systems: A Survey

4 November 2020

Papers citing "Graph Neural Networks in Recommender Systems: A Survey"

50 / 347 papers shown

Title
Your decision path does matter in pre-training industrial recommenders with multi-source behaviors Chunjing Gan Binbin Hu Bo Huang Ziqi Liu Jian Ma Zhiqiang Zhang Wenliang Zhong Jun Zhou 37 0 0 27 May 2024
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations Zhengwu Zhang Yuntong Hu Bo Pan Chen Ling Liang Zhao 31 2 0 27 May 2024
Towards Natural Machine Unlearning Zhengbao He Tao Li Xinwen Cheng Zhehao Huang Xiaolin Huang MU 28 3 0 24 May 2024
Privacy-preserving recommender system using the data collaboration analysis for distributed datasets Tomoya Yanagi Shunnosuke Ikeda Noriyoshi Sukegawa Yuichi Takano FedML 25 2 0 24 May 2024
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback Yiqing Wu Ruobing Xie Zhao Zhang Xu-Yao Zhang Fuzhen Zhuang Leyu Lin Zhanhui Kang Yongjun Xu 20 2 0 24 May 2024
Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node Classification Yijia Zheng M. Worring DiffM 40 1 0 23 May 2024
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation Mingjia Yin Hao Wang Wei Guo Yong Liu Zhi Li Sirui Zhao Defu Lian Enhong Chen 41 7 0 21 May 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 56 12 0 20 May 2024
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks Zhehan Zhao Lu Bai Lixin Cui Ming Li Yue Wang Lixiang Xu Edwin R. Hancock 40 3 0 16 May 2024
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models Shuo Liu Di Yao Lanting Fang Zhetao Li Wenbin Li Kaiyu Feng XiaoWen Ji Jingping Bi 32 0 0 13 May 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training Renjie Liu Yichuan Wang Xiao Yan Zhenkun Cai Minjie Wang Haitian Jiang Bo Tang Jinyang Li GNN 45 2 0 08 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 36 3 0 07 May 2024
Relating-Up: Advancing Graph Neural Networks through Inter-Graph Relationships Qi Zou Na Yu Daoliang Zhang Wei Zhang Rui Gao AI4CE 29 1 0 07 May 2024
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification Xin Zhang Daochen Zha Qiaoyu Tan 55 0 0 06 May 2024
Feature graph construction with static features for malware detection Binghui Zou Chunjie Cao Longjuan Wang Yinan Cheng Jingzhang Sun 25 0 0 25 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Philip S. Yu AI4CE 29 1 0 23 Apr 2024
General Item Representation Learning for Cold-start Content Recommendations Jooeun Kim Jinri Kim Kwangeun Yeo Eungi Kim Kyoung-Woon On Jonghwan Mun Joonseok Lee VLM 19 1 0 22 Apr 2024
Improving the interpretability of GNN predictions through conformal-based graph sparsification Pablo Sánchez-Martín Kinaan Aamir Khan Isabel Valera 29 3 0 18 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
Graph Augmentation for Recommendation Qianru Zhang Lianghao Xia Xuheng Cai Siu-keung Yiu Chao Huang Christian S. Jensen 29 5 0 25 Mar 2024
Exploring Task Unification in Graph Representation Learning via Generative Approach Yulan Hu Ouyang Sheng Zhirui Yang Ge Chen Junchen Wan Xiao Wang Yong Liu 21 2 0 21 Mar 2024
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation Yuting Liu Yizhou Dang Yuliang Liang Qiang Liu Guibing Guo Jianzhe Zhao Xingwei Wang 28 2 0 13 Mar 2024
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data Jinghan Huang Qiufeng Chen Yijun Bian Pengli Zhu Nanguang Chen Moo K. Chung Anqi Qiu 38 0 0 11 Mar 2024
Cooperative Classification and Rationalization for Graph Generalization Linan Yue Qi Liu Ye Liu Weibo Gao Fangzhou Yao Wenfeng Li 32 10 0 10 Mar 2024
Task-Oriented GNNs Training on Large Knowledge Graphs for Accurate and Efficient Modeling Hussein Abdallah Waleed Afandi Panos Kalnis Essam Mansour 20 2 0 09 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework Junxian Li Bin Shi Erfei Cui Hua Wei Qinghua Zheng 41 0 0 02 Mar 2024
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning Man Wu Xin-Yang Zheng Qin Zhang Xiao Shen Xiong Luo Xingquan Zhu Shirui Pan OOD 67 6 0 26 Feb 2024
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation Xinjian Zhao Liang Zhang Yang Liu Ruocheng Guo Xiangyu Zhao 19 0 0 16 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 39 5 0 09 Feb 2024
RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation Xiaohan Yu Li Zhang Xin Zhao Yue Wang Zhongrui Ma 44 9 0 07 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Junfeng Fang Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 51 19 0 05 Feb 2024
Future Directions in the Theory of Graph Machine Learning Christopher Morris Fabrizio Frasca Nadav Dym Haggai Maron .Ismail .Ilkan Ceylan Ron Levie Derek Lim Michael M. Bronstein Martin Grohe Stefanie Jegelka AI4CE 30 4 0 03 Feb 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei-dong Jin DD 64 39 0 29 Jan 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction Kangkang Lu Yanhua Yu Hao Fei Xuan Li Zixuan Yang Zirui Guo Meiyu Liang Mengran Yin Tat-Seng Chua 19 3 0 28 Jan 2024
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently Zicun Cong Baoxu Shi Shan Li Jaewon Yang Qi He Jian Pei 44 4 0 26 Jan 2024
Frustrated Random Walks: A Fast Method to Compute Node Distances on Hypergraphs Enzhi Li Scott Nickleach Bilal Fadlallah OT 11 0 0 23 Jan 2024
ToDA: Target-oriented Diffusion Attacker against Recommendation System Xiaohao Liu Zhulin Tao Ting Jiang He Chang Yunshan Ma Yinwei Wei Xianglin Huang DiffM AAML 18 4 0 23 Jan 2024
FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph Enhancement Dezhong Yao Tongtong Liu Qi Cao Hai Jin 11 4 0 20 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 33 7 0 04 Jan 2024
View-based Explanations for Graph Neural Networks Tingyang Chen Dazhuo Qiu Yinghui Wu Arijit Khan Xiangyu Ke Yunjun Gao 33 9 0 04 Jan 2024
A clean-label graph backdoor attack method in node classification task Xiaogang Xing Ming Xu Yujing Bai Dongdong Yang AAML 89 7 0 30 Dec 2023
User Consented Federated Recommender System Against Personalized Attribute Inference Attack Qi Hu Yangqiu Song FedML 43 9 0 23 Dec 2023
Social Recommendation through Heterogeneous Graph Modeling of the Long-term and Short-term Preference Defined by Dynamic Periods Behafarid Mohammad Jafari Xiao Luo Ali Jafari 11 0 0 21 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 38 2 0 19 Dec 2023
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention Yehjin Shin Jeongwhan Choi Hyowon Wi Noseong Park 38 29 0 16 Dec 2023
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training Hongwu Peng Xi Xie Kaustubh Shivdikar Md Amit Hasan Jiahui Zhao Shaoyi Huang Omer Khan David Kaeli Caiwen Ding 30 37 0 14 Dec 2023
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning Hiroya Kato Kento Hasegawa Seira Hidano Kazuhide Fukushima AAML 30 0 0 12 Dec 2023
No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation Nimesh Agrawal Anuj Kumar Sirohi Jayadeva Sandeep Kumar 19 17 0 10 Dec 2023
Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks Zijie Huang Baolin Li Hafez Asgharzadeh Anne Cocos Lingyi Liu Evan Cox Colby Wise Sudarshan Lamkhede 26 0 0 07 Dec 2023
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams Chaoyi Chen Dechao Gao Yanfeng Zhang Qiange Wang Zhenbo Fu Xuecang Zhang Junhua Zhu Yu Gu Ge Yu GNN 33 5 0 05 Dec 2023