Graph Neural Networks in Recommender Systems: A Survey

4 November 2020

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

36 / 86 papers shown

Title
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
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 19 8 0 27 Feb 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation Liang Qu Ningzhi Tang Ruiqi Zheng Quoc Viet Hung Nguyen Zi Huang Yuhui Shi Hongzhi Yin FedML 62 51 0 10 Feb 2023
Curriculum Graph Machine Learning: A Survey Haoyang Li Xin Eric Wang Wenwu Zhu 15 16 0 06 Feb 2023
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations Jinjiang Guo Jie Li 13 0 0 02 Feb 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 19 1 0 28 Jan 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems Nikzad Chizari Niloufar Shoeibi María N. Moreno-García 19 13 0 18 Jan 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training Kezhao Huang Haitian Jiang Minjie Wang Guangxuan Xiao David Wipf Xiang Song Quan Gan Zengfeng Huang Jidong Zhai Zheng-Wei Zhang GNN 23 2 0 18 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 34 1 0 16 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 25 73 0 11 Jan 2023
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 13 32 0 06 Nov 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 53 10 0 29 Oct 2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings Junyi Li Heng-Chiao Huang FedML 13 6 0 25 Oct 2022
Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering Ángel González-Prieto Abraham Gutiérrez Fernando Ortega R. Lara-Cabrera 16 0 0 05 Oct 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness Rebecca Salganik Fernando Diaz G. Farnadi 18 1 0 08 Sep 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 21 1 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
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
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 9 0 0 01 Jun 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 32 55 0 19 May 2022
Graph Neural Networks Designed for Different Graph Types: A Survey J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 19 29 0 06 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 19 96 0 29 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
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 28 12 0 10 Feb 2022
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 22 30 0 28 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
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
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 14 37 0 26 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 13 19 0 28 Feb 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 590 0 31 Dec 2020
Stealing Links from Graph Neural Networks Xinlei He Jinyuan Jia Michael Backes Neil Zhenqiang Gong Yang Zhang AAML 53 167 0 05 May 2020
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation Xiao Sha Zhu Sun Jie M. Zhang 22 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 258 1,398 0 01 Dec 2016