Graph Neural Networks in Recommender Systems: A Survey

4 November 2020

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

50 / 86 papers shown

Title
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 17 0 0 25 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 19 0 0 19 Apr 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 77 2 0 20 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 64 3 0 12 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
Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks Hamed Firooz Maziar Sanjabi Wenlong Jiang Xiaoling Zhai 63 3 0 03 Jan 2025
Mixture of Experts for Node Classification Yu Shi Yiqi Wang WeiXuan Lang Jiaxin Zhang Pan Dong Aiping Li 127 0 0 30 Nov 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 18 0 0 17 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 34 0 0 12 Oct 2024
GraphRouter: A Graph-based Router for LLM Selections Tao Feng Yanzhen Shen Jiaxuan You 59 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 39 2 0 30 Sep 2024
ELASTIC: Efficient Linear Attention for Sequential Interest Compression Jiaxin Deng Shiyao Wang Song Lu Yinfeng Li Xinchen Luo Yuanjun Liu Peixing Xu Guorui Zhou 34 0 0 18 Aug 2024
You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning Tianmeng Yang Jiahao Meng Min Zhou Yaming Yang Yujing Wang Xiangtai Li Yunhai Tong NoLa 19 1 0 01 Aug 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation Chu Zhao Enneng Yang Yuliang Liang Pengxiang Lan Yuting Liu Jianzhe Zhao Guibing Guo Xingwei Wang OOD DiffM CML 51 5 0 01 Aug 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 21 1 0 26 Jul 2024
Sequence Graph Network for Online Debate Analysis Quan Mai Susan Gauch Douglas Adams Miaoqing Huang 26 0 0 26 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 23 20 0 21 Jun 2024
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion Jiaxin Deng Shiyao Wang Yuchen Wang Jiansong Qi Liqin Zhao Guorui Zhou Gaofeng Meng 19 3 0 15 Jun 2024
Efficient Neural Common Neighbor for Temporal Graph Link Prediction Xiaohui Zhang Yanbo Wang Xiyuan Wang Muhan Zhang 21 1 0 12 Jun 2024
A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusion Xiaoli Zhang Liying Wang Libo Zhao Xiongfei Li Siwei Ma 34 0 0 11 Jun 2024
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python Xihan Qin Cencheng Shen GNN 20 2 0 06 Jun 2024
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation Qile Fan Penghang Yu Zhiyi Tan Bing-Kun Bao Guanming Lu 37 1 0 01 Jun 2024
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge Yuxi Han Jihe Wang Danghui Wang 44 1 0 29 May 2024
Valid Conformal Prediction for Dynamic GNNs Ed Davis Ian Gallagher Daniel J. Lawson Patrick Rubin-Delanchy AI4CE 32 3 0 29 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
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 24 4 0 27 Mar 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 32 5 0 09 Feb 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 16 2 0 28 Jan 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 24 2 0 19 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
Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks Abdalgader Abubaker Takanori Maehara M. Nimishakavi Vassilis Plachouras SSL 38 0 0 19 Nov 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 18 10 0 31 Aug 2023
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery Rebecca Salganik Fernando Diaz G. Farnadi 16 4 0 28 Aug 2023
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks Xiaoru Xie Hongwu Peng Amit Hasan Shaoyi Huang Jiahui Zhao Haowen Fang Wei Zhang Tong Geng O. Khan Caiwen Ding GNN 28 30 0 22 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 19 1 0 16 Aug 2023
Graph Structural Residuals: A Learning Approach to Diagnosis Jan Lukas Augustin Oliver Niggemann 14 2 0 14 Aug 2023
Local Structure-aware Graph Contrastive Representation Learning Kai Yang Yuan Liu Zijuan Zhao P. Ding Wen-feng Zhao 25 3 0 07 Aug 2023
QDC: Quantum Diffusion Convolution Kernels on Graphs Thomas Markovich GNN 10 3 0 20 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 16 0 0 11 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 28 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
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 11 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 16 13 0 28 Jun 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
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
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 20 4 0 22 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
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 16 27 0 06 Apr 2023