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
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis V. W. Anelli Daniele Malitesta Claudio Pomo Alejandro Bellogín T. D. Noia E. Sciascio 19 10 0 01 Aug 2023
Graph Condensation for Inductive Node Representation Learning Xin Gao Tong Chen Yilong Zang Wentao Zhang Quoc Viet Hung Nguyen Kai Zheng Hongzhi Yin DD AI4CE 31 33 0 29 Jul 2023
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations Filippo Betello F. Siciliano Pushkar Mishra Fabrizio Silvestri AAML 21 6 0 24 Jul 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs Thomas Markovich GNN 10 3 0 20 Jul 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation Wei Jin Haitao Mao Zheng Li Haoming Jiang Cheng-hsin Luo ... Suhang Wang Yizhou Sun Jiliang Tang Bing Yin Xianfeng Tang AI4TS 39 37 0 19 Jul 2023
Automated Polynomial Filter Learning for Graph Neural Networks Wendi Yu Zhichao Hou Xiaorui Liu 16 0 0 16 Jul 2023
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task Jiaxing Zhang Zhuomin Chen Hao Mei Dongsheng Luo Hua Wei 37 8 0 15 Jul 2023
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test Arjun Subramonian Adina Williams Maximilian Nickel Yizhou Sun Levent Sagun 21 0 0 11 Jul 2023
Contrastive Graph Pooling for Explainable Classification of Brain Networks Jiaxing Xu Qingtian Bian Xinhang Li Aihu Zhang Yiping Ke Miao Qiao Wei Zhang Wei Khang Jeremy Sim Balázs Gulyás 17 2 0 07 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Yuan-Qi Bei Haonan Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu 36 6 0 06 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs) Zihuai Zhao Wenqi Fan Jiatong Li Yunqing Liu Xiaowei Mei ... Zhen Wen Fei Wang Xiangyu Zhao Jiliang Tang Qing Li KELM 61 308 0 05 Jul 2023
Temporal Graph Benchmark for Machine Learning on Temporal Graphs Shenyang Huang Farimah Poursafaei Jacob Danovitch Matthias Fey Weihua Hu Emanuele Rossi J. Leskovec Michael M. Bronstein Guillaume Rabusseau Reihaneh Rabbany 24 83 0 03 Jul 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals Tingting Dan Jiaqi Ding Ziquan Wei S. Kovalsky Minjeong Kim Won Hwa Kim Guorong Wu DiffM 18 6 0 01 Jul 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Bin Cui 22 13 0 28 Jun 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware Shichang Zhang Atefeh Sohrabizadeh Cheng Wan Zijie Huang Ziniu Hu Yewen Wang Yingyan Lin Lin Jason Cong Yizhou Sun GNN AI4CE 29 22 0 24 Jun 2023
PathMLP: Smooth Path Towards High-order Homophily Chenxuan Xie Jiajun Zhou Sheng Gong Jiacheng Wan Jiaxu Qian Shanqing Yu Qi Xuan Xiaoniu Yang 21 5 0 23 Jun 2023
A Graph Transformer-Driven Approach for Network Robustness Learning Yu Zhang Jia Li Jie Ding Xiang Li OOD AAML OffRL 16 3 0 12 Jun 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework Minglei Yin Bing Liu Neil Zhenqiang Gong Xin Li AAML 9 1 0 11 Jun 2023
Efficient GNN Explanation via Learning Removal-based Attribution Yao Rong Guanchu Wang Qizhang Feng Ninghao Liu Zirui Liu Enkelejda Kasneci Xia Hu 15 9 0 09 Jun 2023
Towards Deep Attention in Graph Neural Networks: Problems and Remedies Soo Yong Lee Fanchen Bu Jaemin Yoo Kijung Shin GNN 13 30 0 04 Jun 2023
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? Iyiola E. Olatunji Anmar Hizber Oliver Sihlovec Megha Khosla AAML 17 6 0 01 Jun 2023
A Survey on Fairness-aware Recommender Systems Di Jin Luzhi Wang He Zhang Yizhen Zheng Weiping Ding Feng Xia Shirui Pan FaML 19 40 0 01 Jun 2023
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation Jin-Duk Park Siqing Li Xin Cao Won-Yong Shin 17 7 0 30 May 2023
Graph Neural Network for spatiotemporal data: methods and applications Yun-Qing Li Dazhou Yu Zhenke Liu Minxing Zhang Xi Gong Liang Zhao AI4TS AI4CE 24 10 0 30 May 2023
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs Yangjie Zhou Yaoxu Song Jingwen Leng Zihan Liu Weihao Cui Zhendong Zhang Cong Guo Quan Chen Li-Wei Li Minyi Guo GNN 22 1 0 27 May 2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks Xinyi Wu A. Ajorlou Zihui Wu Ali Jadbabaie 13 34 0 25 May 2023
BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model Aakas Zhiyuli YanFang Chen Xuan Zhang Xun Liang ALM LLMAG 26 32 0 25 May 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint Paiheng Xu Yuhang Zhou Bang An Wei Ai Furong Huang 20 6 0 25 May 2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks Kexin Huang Ying Jin Emmanuel Candès J. Leskovec 35 57 0 23 May 2023
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention Hongjun Wang Jiyuan Chen Lun Du Qiang Fu Shi Han Xuan Song CML GNN 27 4 0 22 May 2023
PRODIGY: Enabling In-context Learning Over Graphs Qian Huang Hongyu Ren Peng Chen Gregor Krvzmanc D. Zeng Percy Liang J. Leskovec 23 68 0 21 May 2023
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness Zeyuan Tan Xiulong Yuan Congjie He Man-Kit Sit Guo Li Xiaoze Liu Baole Ai Kai Zeng Peter R. Pietzuch Luo Mai GNN 15 15 0 18 May 2023
Representation Learning for Person or Entity-centric Knowledge Graphs: An Application in Healthcare Christos Theodoropoulos N. Mulligan T. Stappenbeck Joao H. Bettencourt-Silva 14 5 0 09 May 2023
Turning Privacy-preserving Mechanisms against Federated Learning Marco Arazzi Mauro Conti Antonino Nocera S. Picek AAML FedML 19 15 0 09 May 2023
A Blockchain-based Platform for Reliable Inference and Training of Large-Scale Models Sanghyeon Park Junmo Lee Soo-Mook Moon 38 1 0 06 May 2023
Structural Group Unfairness: Measurement and Mitigation by means of the Effective Resistance Adrián Arnaiz-Rodríguez Georgina Curto Nuria Oliver 16 0 0 05 May 2023
Disentangled Contrastive Collaborative Filtering Xubin Ren Lianghao Xia Jiashu Zhao Dawei Yin Chao Huang 29 75 0 04 May 2023
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems Chen Li Yang Cao Ye Zhu Debo Cheng Chengyuan Li Yasuhiko Morimoto GNN 28 12 0 02 May 2023
Deep Graph Reprogramming Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 75 35 0 28 Apr 2023
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing Yunpeng Weng Xing Tang Liang Chen Xiuqiang He 20 3 0 25 Apr 2023
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems Antonio Purificato Giulia Cassara F. Siciliano Pietro Lio' Fabrizio Silvestri 8 4 0 07 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 21 28 0 06 Apr 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 38 18 0 03 Apr 2023
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware Nicholas Meisburger V. Lakshman Benito Geordie Joshua Engels David Torres Ramos ... Benjamin Meisburger Shubh Gupta Yashwanth Adunukota Tharun Medini Anshumali Shrivastava 17 2 0 30 Mar 2023
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization Stefan Abi-Karam Cong Hao GNN 28 7 0 29 Mar 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
Mind the Label Shift of Augmentation-based Graph OOD Generalization Junchi Yu Jian Liang R. He 34 27 0 27 Mar 2023
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review Hanxun Jin Enrui Zhang H. Espinosa AI4CE 20 68 0 14 Mar 2023
A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges Xuansheng Wu Kaixiong Zhou Mingchen Sun Xin Wang Ninghao Liu 46 12 0 13 Mar 2023
Towards a GML-Enabled Knowledge Graph Platform Hussein Abdallah Essam Mansour 16 2 0 03 Mar 2023