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
NetSight: Graph Attention Based Traffic Forecasting in Computer Networks Jinming Xing Guoheng Sun Hui Sun Linchao Pan Shakir Mahmood Xuanhao Luo Muhammad Shahzad 28 0 0 11 May 2025
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks Junyuan Fang Han Yang Haixian Wen Jiajing Wu Zibin Zheng Chi K. Tse AAML 46 0 0 29 Apr 2025
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation Qidong Liu Xiangyu Zhao Yejing Wang Zijian Zhang Howard Zhong Chong Chen X. Li Wei Huang Feng Tian AI4TS 19 0 0 25 Apr 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation Xu Guo Tong Zhang Fuyun Wang Xudong Wang X. Zhang Xin Liu Zhen Cui 35 0 0 23 Apr 2025
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration H. Li Hanwen Du Y. Li Junchen Fu Chunxiao Li Ziyi Zhuang Jiakang Li Yongxin Ni AI4TS 29 0 0 19 Apr 2025
FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning Zekai Chen Xunkai Li Y. X. Zhu Rong-Hua Li Guoren Wang FedML 33 0 0 19 Apr 2025
H $^3$ GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning Rui Xue Tianfu Wu AI4CE 37 0 0 16 Apr 2025
Trajectory Encoding Temporal Graph Networks Jiafeng Xiong Rizos Sakellariou AI4CE 42 0 0 15 Apr 2025
MedGNN: Capturing the Links Between Urban Characteristics and Medical Prescriptions Minwei Zhao S. Šćepanović Stephen Law Daniele Quercia Ivica Obadic 30 0 0 07 Apr 2025
Improvement Graph Convolution Collaborative Filtering with Weighted addition input Tin T. Tran V. Snasel GNN 45 3 0 27 Mar 2025
Towards Graph Foundation Models: A Transferability Perspective Y. Wang Wenqi Fan Suhang Wang Yao Ma 43 1 0 13 Mar 2025
MC-GRU:a Multi-Channel GRU network for generalized nonlinear structural response prediction across structures Shan He Ruiyang Zhang 41 0 0 10 Mar 2025
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing Maurizio Ferrari Dacrema Michael Benigni Nicola Ferro 41 0 0 10 Mar 2025
Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs Runlin Lei Jiarui Ji Haipeng Ding Lu Yi Zhewei Wei Yongchao Liu Chuntao Hong AI4CE 55 0 0 05 Mar 2025
Deal: Distributed End-to-End GNN Inference for All Nodes Shiyang Chen Xiang Song Vasiloudis Theodore Hang Liu GNN 50 0 0 04 Mar 2025
Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing Lukas Fesser Melanie Weber 36 0 0 01 Mar 2025
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems Saman Forouzandeh P. Krivitsky Rohitash Chandra 55 0 0 26 Feb 2025
Graph Augmentation for Cross Graph Domain Generalization Guanzi Chen Jiying Zhang Yang Li 68 0 0 25 Feb 2025
Dynamic Knowledge Selector and Evaluator for recommendation with Knowledge Graph Feng Xia Zhifei Hu 42 0 0 24 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tonshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 97 2 0 21 Feb 2025
Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment Ruyi Ding Tianhong Xu A. A. Ding Yunsi Fei FedML 36 0 0 20 Feb 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 87 2 0 20 Feb 2025
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation Yuhan Li Xinni Zhang Linhao Luo Heng Chang Yuxiang Ren Irwin King J. Li 52 3 0 18 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation Xiangjin Xie Y. Chen Ruipeng Wang Kai Ouyang Zihan Zhang ... Buyue Qian Hansen Zheng Bo Hu Chengxiang Zhuo Zang Li 68 3 0 12 Feb 2025
Personalized Denoising Implicit Feedback for Robust Recommender System Kaike Zhang Qi Cao Yunfan Wu Fei Sun Huawei Shen Xueqi Cheng NoLa 84 1 0 01 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 83 19 0 28 Jan 2025
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training Ting Wang Zhixin Zhou Rui Luo 31 5 0 06 Jan 2025
Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks Hamed Firooz Maziar Sanjabi Wenlong Jiang Xiaoling Zhai 65 3 0 03 Jan 2025
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers James H. Tanis Chris Giannella Adrian V. Mariano AI4CE GNN FaML PINN 56 0 0 27 Dec 2024
CLDG: Contrastive Learning on Dynamic Graphs Yiming Xu Bin Shi Teng Ma Bo Dong Haoyi Zhou Qinghua Zheng 109 15 0 19 Dec 2024
A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems Pang Li Shahrul Azman Mohd Noah Hafiz Mohd Sarim 76 1 0 02 Dec 2024
Mixture of Experts for Node Classification Yu Shi Yiqi Wang WeiXuan Lang Jiaxin Zhang Pan Dong Aiping Li 174 0 0 30 Nov 2024
MBExplainer: Multilevel bandit-based explanations for downstream models with augmented graph embeddings Ashkan Golgoon Ryan Franks Khashayar Filom Arjun Ravi Kannan 33 0 0 01 Nov 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation Weiqin Yang Jiawei Chen Xin Xin Sheng Zhou Binbin Hu Yan Feng C. L. P. Chen C. Wang 45 2 0 31 Oct 2024
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act Barbara Hoffmann Jana Vatter R. Mayer 33 0 0 29 Oct 2024
Path-based summary explanations for graph recommenders -- extended version Danae Pla Karidi E. Pitoura 25 0 0 29 Oct 2024
Valid Bootstraps for Network Embeddings with Applications to Network Visualisation Emerald Dilworth Ed Davis Daniel J. Lawson 32 0 0 28 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information Ömer Faruk Akgül R. Kannan Viktor Prasanna FedML 23 0 0 17 Oct 2024
Eco-Aware Graph Neural Networks for Sustainable Recommendations Antonio Purificato Fabrizio Silvestri 23 3 0 12 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 39 0 0 12 Oct 2024
Federated Graph Learning for Cross-Domain Recommendation Ziqi Yang Zhaopeng Peng Zihui Wang Jianzhong Qi Chaochao Chen Weike Pan Chenglu Wen Cheng-Yu Wang Xiaoliang Fan FedML 29 1 0 10 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 37 1 0 07 Oct 2024
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks Rui Xue Tong Zhao Neil Shah Xiaorui Liu GNN 37 1 0 07 Oct 2024
GraphRouter: A Graph-based Router for LLM Selections Tao Feng Yanzhen Shen Jiaxuan You 79 10 0 04 Oct 2024
Mitigating Propensity Bias of Large Language Models for Recommender Systems Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 44 2 0 30 Sep 2024
Enhancing Robustness of Graph Neural Networks through p-Laplacian Anuj Kumar Sirohi Subhanu Halder Kabir Kumar Sandeep Kumar OOD AAML 29 0 0 27 Sep 2024
Boolean Product Graph Neural Networks Ziyan Wang Bin Liu Ling Xiang 48 0 0 21 Sep 2024
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research Falguni Roy Xiaofeng Ding K. -K. R. Choo Pan Zhou FaML 23 0 0 19 Sep 2024
ATFLRec: A Multimodal Recommender System with Audio-Text Fusion and Low-Rank Adaptation via Instruction-Tuned Large Language Model Zezheng Qin 23 0 0 13 Sep 2024
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers Shanu Vashishtha Abhay Kumar Lalitesh Morishetti Kaushiki Nag Kannan Achan 39 0 0 11 Sep 2024