Graph Neural Networks in Recommender Systems: A Survey

4 November 2020

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

47 / 347 papers shown

Title
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 42 1 0 12 Jul 2022
Exploiting Social Graph Networks for Emotion Prediction Maryam Khalid Akane Sano 19 4 0 12 Jul 2022
What Do Graph Convolutional Neural Networks Learn? Sannat Singh Bhasin Vaibhav Holani Divij Sanjanwala GNN SSL 8 1 0 05 Jul 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 23 11 0 19 Jun 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search Yi Qin Ziwei Zhang Xin Eric Wang Zeyang Zhang Wenwu Zhu 21 26 0 18 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning Wentao Zhang Zeang Sheng Mingyu Yang Yang Li Yu Shen Zhi-Xin Yang Bin Cui AAML 18 16 0 17 Jun 2022
DFG-NAS: Deep and Flexible Graph Neural Architecture Search Wentao Zhang Zheyu Lin Yu Shen Yang Li Zhi-Xin Yang Bin Cui GNN AI4CE 27 5 0 17 Jun 2022
ProGNNosis: A Data-driven Model to Predict GNN Computation Time Using Graph Metrics Axel Wassington S. Abadal GNN 21 1 0 16 Jun 2022
TwiBot-22: Towards Graph-Based Twitter Bot Detection Shangbin Feng Zhaoxuan Tan Herun Wan Ningnan Wang Zilong Chen ... Yanbo Wang Lijing Zheng Zihan Ma Jundong Li Minnan Luo 24 84 0 09 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 21 39 0 09 Jun 2022
An Empirical Study of Retrieval-enhanced Graph Neural Networks Dingmin Wang Shengchao Liu Hanchen Wang Bernardo Cuenca Grau Linfeng Song Jian Tang Song Le Qi Liu 13 0 0 01 Jun 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 32 56 0 19 May 2022
Discovering and Explaining the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions Fang Wu Siyuan Li Lirong Wu Dragomir R. Radev Stan Z. Li 27 2 0 15 May 2022
Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound Hongwei Jin Zishun Yu Xinhua Zhang 33 2 0 12 May 2022
Graph Neural Networks Designed for Different Graph Types: A Survey J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 23 29 0 06 Apr 2022
VRKG4Rec: Virtual Relational Knowledge Graphs for Recommendation Lingyun Lu Bang-wei Wang Zizhuo Zhang Shenghao Liu Han Xu 11 16 0 03 Apr 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 34 96 0 29 Mar 2022
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest Yuezihan Jiang Yu Cheng Hanyu Zhao Wentao Zhang Xupeng Miao Yu He Liang Wang Zhi-Xin Yang Bin Cui GNN 10 10 0 20 Mar 2022
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels Wentao Zhang Yexin Wang Zhenbang You Meng Cao Ping-Chia Huang Jiulong Shan Zhi-Xin Yang Bin Cui AAML 32 19 0 02 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui GNN 27 59 0 01 Mar 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 19 96 0 16 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning Zihan Lin Changxin Tian Yupeng Hou Wayne Xin Zhao 17 418 0 13 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 30 12 0 10 Feb 2022
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs Hongwei Jin Xun Chen 25 9 0 01 Feb 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games Shichang Zhang Yozen Liu Neil Shah Yizhou Sun FAtt 23 45 0 28 Jan 2022
Graph Neural Networks with Dynamic and Static Representations for Social Recommendation Junfa Lin Siyuan Chen Jiahai Wang 26 21 0 26 Jan 2022
Attention-Based Recommendation On Graphs Taher Hekmatfar Saman Haratizadeh Parsa Razban S. Goliaei GNN 11 2 0 04 Jan 2022
K-Core Decomposition on Super Large Graphs with Limited Resources Shicheng Gao Jie Xu Xiaosen Li Fangcheng Fu Wentao Zhang Wenbin Ouyang Yangyu Tao Bin Cui 21 2 0 26 Dec 2021
RIM: Reliable Influence-based Active Learning on Graphs Wentao Zhang Yexin Wang Zhenbang You Mengyao Cao Ping-Chia Huang Jiulong Shan Zhi-Xin Yang Bin Cui 30 30 0 28 Oct 2021
Node Dependent Local Smoothing for Scalable Graph Learning Wentao Zhang Mingyu Yang Zeang Sheng Yang Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui 13 67 0 27 Oct 2021
CoRGi: Content-Rich Graph Neural Networks with Attention Jooyeon Kim A. Lamb Simon Woodhead Simon L. Peyton Jones Cheng Zheng Miltiadis Allamanis 36 6 0 10 Oct 2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation Lianghao Xia Chao Huang Yong-mei Xu Peng Dai Xiyue Zhang Hongsheng Yang J. Pei Liefeng Bo 119 192 0 08 Oct 2021
Space-Time Graph Neural Networks Samar Hadou Charilaos I. Kanatsoulis Alejandro Ribeiro AI4TS 18 17 0 06 Oct 2021
Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy Brendan E. Odigwe F. Spinale H. Valafar 13 3 0 13 Sep 2021
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Benjamin Chapus Viet-Anh Tran Michalis Vazirgiannis 19 20 0 02 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 16 31 0 02 Aug 2021
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization Wentao Zhang Zhi-Xin Yang Yexin Wang Yu Shen Yang Li Liang Wang Bin Cui 14 50 0 31 Jul 2021
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems Yinan Zhang Boyang Albert Li Yong-jin Liu Hao Wang C. Miao 18 10 0 09 Jun 2021
Motif Prediction with Graph Neural Networks Maciej Besta Raphael Grob Cesare Miglioli Nico Bernold Grzegorz Kwa'sniewski ... Raghavendra Kanakagiri Saleh Ashkboos Lukas Gianinazzi Nikoli Dryden Torsten Hoefler 24 37 0 26 May 2021
Graph Learning based Recommender Systems: A Review Shoujin Wang Liang Hu Yan Wang Xiangnan He Quan.Z Sheng M. Orgun LongBing Cao F. Ricci Philip S. Yu 24 198 0 13 May 2021
Explore User Neighborhood for Real-time E-commerce Recommendation Xu Xie Fei Sun Xiaoyong Yang Zhao Yang Jinyang Gao Wenwu Ou Bin Cui 19 19 0 28 Feb 2021
Heterogeneous Graph based Deep Learning for Biomedical Network Link Prediction Jinjiang Guo Jie Li Dawei Leng Lurong Pan 9 2 0 28 Jan 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 128 272 0 23 Jan 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 167 591 0 31 Dec 2020
Stealing Links from Graph Neural Networks Xinlei He Jinyuan Jia Michael Backes Neil Zhenqiang Gong Yang Zhang AAML 63 168 0 05 May 2020
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation Xiao Sha Zhu Sun Jie M. Zhang 30 63 0 18 Oct 2019
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016