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Graph Neural Networks in Recommender Systems: A Survey

Graph Neural Networks in Recommender Systems: A Survey

4 November 2020
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Bin Cui
    GNN
ArXivPDFHTML

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

37 / 87 papers shown
Title
GNNBuilder: An Automated Framework for Generic Graph Neural Network
  Accelerator Generation, Simulation, and Optimization
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
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
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
Graph-based Knowledge Distillation: A survey and experimental evaluation
Jing Liu
Tongya Zheng
Guanzheng Zhang
Qinfen Hao
24
8
0
27 Feb 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation
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
Curriculum Graph Machine Learning: A Survey
Haoyang Li
Xin Eric Wang
Wenwu Zhu
20
16
0
06 Feb 2023
Predicting Molecule-Target Interaction by Learning Biomedical Network
  and Molecule Representations
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations
Jinjiang Guo
Jie Li
16
0
0
02 Feb 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive
  Masking and Trainable Corruption
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
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
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
Adaptive Depth Graph Attention Networks
Jingbo Zhou
Yixuan Du
Ruqiong Zhang
Rui Zhang
GNN
34
1
0
16 Jan 2023
Data Distillation: A Survey
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
25
73
0
11 Jan 2023
Unlearning Graph Classifiers with Limited Data Resources
Unlearning Graph Classifiers with Limited Data Resources
Chao Pan
Eli Chien
O. Milenkovic
MU
18
32
0
06 Nov 2022
Clenshaw Graph Neural Networks
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
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings
Junyi Li
Heng-Chiao Huang
FedML
15
6
0
25 Oct 2022
Restricted Bernoulli Matrix Factorization: Balancing the trade-off
  between prediction accuracy and coverage in classification based
  collaborative filtering
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
21
0
0
05 Oct 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness
Analyzing the Effect of Sampling in GNNs on Individual Fairness
Rebecca Salganik
Fernando Diaz
G. Farnadi
24
1
0
08 Sep 2022
Tuning the Geometry of Graph Neural Networks
Tuning the Geometry of Graph Neural Networks
Sowon Jeong
Claire Donnat
AI4CE
24
1
0
12 Jul 2022
What Do Graph Convolutional Neural Networks Learn?
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
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
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
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
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
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
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
24
96
0
29 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable
  Paradigm
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
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
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
25
30
0
28 Oct 2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for
  Multi-Behavior Recommendation
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
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
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
19
37
0
26 May 2021
Explore User Neighborhood for Real-time E-commerce Recommendation
Explore User Neighborhood for Real-time E-commerce Recommendation
Xu Xie
Fei Sun
Xiaoyong Yang
Zhao Yang
Jinyang Gao
Wenwu Ou
Bin Cui
16
19
0
28 Feb 2021
Advances and Challenges in Conversational Recommender Systems: A Survey
Advances and Challenges in Conversational Recommender Systems: A Survey
Chongming Gao
Wenqiang Lei
Xiangnan He
Maarten de Rijke
Tat-Seng Chua
128
271
0
23 Jan 2021
Explainability in Graph Neural Networks: A Taxonomic Survey
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
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
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation
Xiao Sha
Zhu Sun
Jie M. Zhang
25
63
0
18 Oct 2019
Interaction Networks for Learning about Objects, Relations and Physics
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
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