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Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

6 June 2018
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
    GNNBDL
ArXiv (abs)PDFHTML

Papers citing "Graph Convolutional Neural Networks for Web-Scale Recommender Systems"

50 / 1,279 papers shown
Title
One-class Recommendation Systems with the Hinge Pairwise Distance Loss
  and Orthogonal Representations
One-class Recommendation Systems with the Hinge Pairwise Distance Loss and Orthogonal Representations
Ramin Raziperchikolaei
Young-joo Chung
42
0
0
31 Aug 2022
A Review of Knowledge Graph Completion
A Review of Knowledge Graph Completion
Mohamad Zamini
Hassan Reza
M. Rabiei
70
64
0
24 Aug 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label
  Transition and Topology-based Label Propagation
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation
Jun Zhuang
M. Hasan
71
20
0
21 Aug 2022
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a
  Single Machine via Provably Optimal In-memory Caching
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
Yeonhong Park
Sunhong Min
Jae W. Lee
GNN
62
38
0
19 Aug 2022
GraTO: Graph Neural Network Framework Tackling Over-smoothing with
  Neural Architecture Search
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search
Xinshun Feng
Herun Wan
Shangbin Feng
Hongrui Wang
Jun Zhou
Qinghua Zheng
Minnan Luo
73
6
0
18 Aug 2022
Embracing Graph Neural Networks for Hardware Security (Invited Paper)
Embracing Graph Neural Networks for Hardware Security (Invited Paper)
Lilas Alrahis
Satwik Patnaik
Mohamed Bennai
Ozgur Sinanoglu
53
16
0
17 Aug 2022
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient
  Graph Learning for ETA Prediction at Baidu Maps
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps
Jizhou Huang
Zhengjie Huang
Xiaomin Fang
Shi Feng
Xuyi Chen
Jiaxiang Liu
Haitao Yuan
Haifeng Wang
AI4TS
73
15
0
15 Aug 2022
Generating Negative Samples for Sequential Recommendation
Generating Negative Samples for Sequential Recommendation
Yong-Guang Chen
Jia Li
Zhiwei Liu
N. Keskar
Haiquan Wang
Julian McAuley
Caiming Xiong
62
4
0
07 Aug 2022
LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware
  Recommendation
LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation
Yin Zhang
Can Xu
Xianjun Wu
Yan Zhang
Ligang Dong
Weigang Wang
18
1
0
06 Aug 2022
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge
  Distillation Processes
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes
Tien-Cuong Bui
Wen-Syan Li
S. Cha
52
1
0
05 Aug 2022
GREASE: Generate Factual and Counterfactual Explanations for GNN-based
  Recommendations
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
Ziheng Chen
Fabrizio Silvestri
Jia Wang
Yongfeng Zhang
Zhenhua Huang
H. Ahn
Gabriele Tolomei
CML
83
30
0
04 Aug 2022
Node Copying: A Random Graph Model for Effective Graph Sampling
Node Copying: A Random Graph Model for Effective Graph Sampling
Florence Regol
Soumyasundar Pal
Jianing Sun
Yingxue Zhang
Yanhui Geng
Mark Coates
75
5
0
04 Aug 2022
Personalised recommendations of sleep behaviour with neural networks
  using sleep diaries captured in Sleepio
Personalised recommendations of sleep behaviour with neural networks using sleep diaries captured in Sleepio
A. Nevado-Holgado
C. Espie
Maria Liakata
A. Henry
J. Gu
Niall Taylor
K. Saunders
Tom Walker
C. Miller
27
1
0
29 Jul 2022
Self-Supervised Hypergraph Transformer for Recommender Systems
Self-Supervised Hypergraph Transformer for Recommender Systems
Lianghao Xia
Chao Huang
Chuxu Zhang
89
115
0
28 Jul 2022
Learning Personalized Representations using Graph Convolutional Network
Learning Personalized Representations using Graph Convolutional Network
Hongyu Shen
Jinoh Oh
Shuai Zhao
Guoyin Wang
Taraneh Taghavi
Sungjin Lee
GNNAI4TS
46
1
0
28 Jul 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent
  Memory
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory
Yuwei Hu
Jiajie Li
Zhongming Yu
Zhiru Zhang
GNN
76
0
0
25 Jul 2022
Privacy and Transparency in Graph Machine Learning: A Unified
  Perspective
Privacy and Transparency in Graph Machine Learning: A Unified Perspective
Megha Khosla
70
4
0
22 Jul 2022
Knowledge-enhanced Black-box Attacks for Recommendations
Knowledge-enhanced Black-box Attacks for Recommendations
Jingfan Chen
Wenqi Fan
Guanghui Zhu
Xiangyu Zhao
Chun Yuan
Qing Li
Jiaming Ji
MLAUAAML
74
52
0
21 Jul 2022
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization
Ningyi Liao
Dingheng Mo
Siqiang Luo
Xiang Li
Pengcheng Yin
GNNAI4CE
69
22
0
19 Jul 2022
HICF: Hyperbolic Informative Collaborative Filtering
HICF: Hyperbolic Informative Collaborative Filtering
Menglin Yang
Zhihao Li
Min Zhou
Jiahong Liu
Irwin King
76
55
0
19 Jul 2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural
  Networks
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu
Xueqi Ma
Yinbing Zhan
Liang Ding
Dapeng Tao
Di Lin
Wenbin Hu
Danilo Mandic
93
32
0
18 Jul 2022
Explainable Sparse Knowledge Graph Completion via High-order Graph
  Reasoning Network
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network
Weijia Chen
Yixin Cao
Fuli Feng
Xiangnan He
Yongdong Zhang
97
2
0
14 Jul 2022
Everyone's Preference Changes Differently: Weighted Multi-Interest
  Retrieval Model
Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval Model
Hui Shi
Yupeng Gu
Yitong Zhou
Bo Zhao
Sicun Gao
Jishen Zhao
27
10
0
14 Jul 2022
Graph Generative Model for Benchmarking Graph Neural Networks
Graph Generative Model for Benchmarking Graph Neural Networks
Minji Yoon
Yue Wu
John Palowitch
Bryan Perozzi
Ruslan Salakhutdinov
75
7
0
10 Jul 2022
Generalization Guarantee of Training Graph Convolutional Networks with
  Graph Topology Sampling
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
Hongkang Li
Ming Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
GNN
78
28
0
07 Jul 2022
TREE-G: Decision Trees Contesting Graph Neural Networks
TREE-G: Decision Trees Contesting Graph Neural Networks
Maya Bechler-Speicher
Amir Globerson
Ran Gilad-Bachrach
76
4
0
06 Jul 2022
Learning node embeddings via summary graphs: a brief theoretical
  analysis
Learning node embeddings via summary graphs: a brief theoretical analysis
Houquan Zhou
Shenghua Liu
Danai Koutra
Huawei Shen
Xueqi Cheng
29
0
0
04 Jul 2022
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Yu Wang
Yuying Zhao
Yi Zhang
Hanyu Wang
GNN
71
63
0
03 Jul 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network
Transforming PageRank into an Infinite-Depth Graph Neural Network
Andreas Roth
Thomas Liebig
GNN
80
14
0
01 Jul 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion
Optimization-Induced Graph Implicit Nonlinear Diffusion
Qi Chen
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
DiffM
127
32
0
29 Jun 2022
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations
Mandeep Rathee
Thorben Funke
Avishek Anand
Megha Khosla
75
15
0
28 Jun 2022
Cooperative Retriever and Ranker in Deep Recommenders
Cooperative Retriever and Ranker in Deep Recommenders
Xunpeng Huang
Defu Lian
Jin Chen
Liu Zheng
Xing Xie
Enhong Chen
VLMAI4TS
58
12
0
28 Jun 2022
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Jae-gyun Song
Joonhyung Park
Eunho Yang
83
55
0
26 Jun 2022
Sampling Enclosing Subgraphs for Link Prediction
Sampling Enclosing Subgraphs for Link Prediction
Paul Louis
Shweta Ann Jacob
Amirali Salehi-Abari
GNN
99
15
0
23 Jun 2022
Affinity-Aware Graph Networks
Affinity-Aware Graph Networks
A. Velingker
A. Sinop
Ira Ktena
Petar Velickovic
Sreenivas Gollapudi
GNN
107
17
0
23 Jun 2022
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network
Boxin Du
Changhe Yuan
Fei Wang
Hanghang Tong
42
2
0
19 Jun 2022
Certified Graph Unlearning
Certified Graph Unlearning
Eli Chien
Chao Pan
O. Milenkovic
MU
105
40
0
18 Jun 2022
A Graph-Enhanced Click Model for Web Search
A Graph-Enhanced Click Model for Web Search
Jianghao Lin
Weiwen Liu
Xinyi Dai
Weinan Zhang
Shuai Li
Ruiming Tang
Xiuqiang He
Jianye Hao
Yong Yu
81
36
0
17 Jun 2022
Time Interval-enhanced Graph Neural Network for Shared-account
  Cross-domain Sequential Recommendation
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation
Lei Guo
Jinyu Zhang
Lilia Tang
Tong Chen
Lei Zhu
Hongzhi Yin
48
36
0
16 Jun 2022
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering
Tong Wang
Guanyu Yang
Qijia He
Zhenquan Zhang
Junhua Wu
45
6
0
16 Jun 2022
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset
Chunhui Ai
Derui Wang
Xuemi Yan
Yang Xu
Wenrui Xie
Ziqiang Cao
55
0
0
15 Jun 2022
Learning Enhanced Representations for Tabular Data via Neighborhood
  Propagation
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation
Kounianhua Du
Weinan Zhang
Ruiwen Zhou
Yangkun Wang
Xilong Zhao
Jiarui Jin
Quan Gan
Zheng Zhang
David Wipf
AI4TS
56
9
0
14 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in
  Large Graphs
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
Jinsong Chen
Kaiyuan Gao
Gaichao Li
Kun He
84
117
0
10 Jun 2022
Comprehensive Fair Meta-learned Recommender System
Comprehensive Fair Meta-learned Recommender System
Tianxin Wei
Jingrui He
FedMLFaMLOffRL
69
42
0
09 Jun 2022
TwiBot-22: Towards Graph-Based Twitter Bot Detection
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
123
94
0
09 Jun 2022
Accurate Node Feature Estimation with Structured Variational Graph
  Autoencoder
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder
Jaemin Yoo
Hyunsik Jeon
Jinhong Jung
U. Kang
BDL
50
21
0
09 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling
  Perspective
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
Zepeng Zhang
Ziping Zhao
AI4CE
71
4
0
09 Jun 2022
Network Report: A Structured Description for Network Datasets
Network Report: A Structured Description for Network Datasets
Xinyi Zheng
Ryan A. Rossi
Nesreen Ahmed
Dominik Moritz
53
4
0
08 Jun 2022
EiX-GNN : Concept-level eigencentrality explainer for graph neural
  networks
EiX-GNN : Concept-level eigencentrality explainer for graph neural networks
Adrien Raison
Pascal Bourdon
David Helbert
70
1
0
07 Jun 2022
Learning Backward Compatible Embeddings
Learning Backward Compatible Embeddings
Weihua Hu
Rajas Bansal
Kaidi Cao
Nikhil S. Rao
Karthik Subbian
J. Leskovec
39
17
0
07 Jun 2022
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