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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"

41 / 1,341 papers shown
Title
A Comparative Study for Unsupervised Network Representation Learning
A Comparative Study for Unsupervised Network Representation LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019
Megha Khosla
Vinay Setty
Avishek Anand
SSL
214
59
0
19 Mar 2019
Knowledge Graph Convolutional Networks for Recommender Systems
Knowledge Graph Convolutional Networks for Recommender SystemsThe Web Conference (WWW), 2019
Hongwei Wang
Miao Zhao
Xing Xie
Wenjie Li
Minyi Guo
141
1,044
0
18 Mar 2019
Knowledge-aware Complementary Product Representation Learning
Knowledge-aware Complementary Product Representation Learning
Da Xu
Chuanwei Ruan
Jason H. D. Cho
Evren Körpeoglu
Sushant Kumar
Kannan Achan
DML
154
31
0
16 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks
Fisher-Bures Adversary Graph Convolutional Networks
Ke Sun
Piotr Koniusz
Zhen Wang
GNN
158
35
0
11 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
563
1,606
0
10 Mar 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph
  Structure
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Fuli Feng
Xiangnan He
Jie Tang
Tat-Seng Chua
OODAAML
214
245
0
20 Feb 2019
Graph Neural Networks for Social Recommendation
Graph Neural Networks for Social Recommendation
Wenqi Fan
Yao Ma
Qing Li
Yuan He
Yue Zhao
Shucheng Zhou
D. Yin
443
2,122
0
19 Feb 2019
Context-Aware Visual Compatibility Prediction
Context-Aware Visual Compatibility PredictionComputer Vision and Pattern Recognition (CVPR), 2019
Guillem Cucurull
Perouz Taslakian
David Vazquez
168
106
0
10 Feb 2019
Hypergraph Convolution and Hypergraph Attention
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Juil Sock
GNN
289
758
0
23 Jan 2019
Constant Time Graph Neural Networks
Constant Time Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNN
172
10
0
23 Jan 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu
Dixin Luo
H. Zha
Lawrence Carin
344
291
0
17 Jan 2019
Learning Vertex Representations for Bipartite Networks
Learning Vertex Representations for Bipartite Networks
Ming Gao
Xiangnan He
Leihui Chen
Tingting Liu
Jinglin Zhang
Aoying Zhou
106
26
0
16 Jan 2019
Efficient Representation Learning Using Random Walks for Dynamic Graphs
Efficient Representation Learning Using Random Walks for Dynamic Graphs
Hooman Peiro Sajjad
Andrew Docherty
Y. Tyshetskiy
131
29
0
05 Jan 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
1.5K
10,084
0
03 Jan 2019
Dynamic Graph Representation Learning via Self-Attention Networks
Dynamic Graph Representation Learning via Self-Attention Networks
Aravind Sankar
Yanhong Wu
Liang Gou
Wei Zhang
Hao Yang
GNN
210
137
0
22 Dec 2018
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.7K
6,315
0
20 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
424
1,480
0
11 Dec 2018
Graph Node-Feature Convolution for Representation Learning
Graph Node-Feature Convolution for Representation Learning
Li Zhang
Heda Song
Nikolaos Aletras
Haiping Lu
GNNSSL
95
14
0
30 Nov 2018
Scalable Graph Learning for Anti-Money Laundering: A First Look
Scalable Graph Learning for Anti-Money Laundering: A First Look
Mark Weber
Jie Chen
Toyotaro Suzumura
A. Pareja
Tengfei Ma
Toyotaro Suzumura
Tim Kaler
C. E. Leiserson
Tao B. Schardl
189
115
0
30 Nov 2018
Adversarial Classifier for Imbalanced Problems
Adversarial Classifier for Imbalanced Problems
Ehsan Montahaei
Mahsa Ghorbani
M. Baghshah
Hamid R. Rabiee
157
12
0
21 Nov 2018
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph
  Convolutional Networks
MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional NetworksInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018
Mahsa Ghorbani
M. Baghshah
Hamid R. Rabiee
220
43
0
21 Nov 2018
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph
  Representation Learning
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Stephen Bonner
John Brennan
Ibad Kureshi
Georgios Theodoropoulos
A. Mcgough
B. Obara
OOD
138
15
0
20 Nov 2018
Role action embeddings: scalable representation of network positions
Role action embeddings: scalable representation of network positions
George Berry
GNN
92
2
0
19 Nov 2018
End-to-end Structure-Aware Convolutional Networks for Knowledge Base
  Completion
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Mingmin Zhen
Jinglu Wang
Lei Zhou
Jinbo Bi
Tian Fang
Long Quan
GNN
163
672
0
11 Nov 2018
SocialGCN: An Efficient Graph Convolutional Network based Model for
  Social Recommendation
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation
Anton Belyy
Peijie Sun
Richang Hong
Yanjie Fu
Xiting Wang
Ming Wang
GNN
116
130
0
07 Nov 2018
Median activation functions for graph neural networks
Median activation functions for graph neural networks
Luana Ruiz
Fernando Gama
A. Marques
Alejandro Ribeiro
GNNAI4CE
178
9
0
29 Oct 2018
Attack Graph Convolutional Networks by Adding Fake Nodes
Attack Graph Convolutional Networks by Adding Fake Nodes
Xiaoyun Wang
Minhao Cheng
Joe Eaton
Cho-Jui Hsieh
S. F. Wu
AAMLGNN
287
83
0
25 Oct 2018
Streaming Graph Neural Networks
Streaming Graph Neural Networks
Yao Ma
Ziyi Guo
Zhaochun Ren
Eric Zhao
Shucheng Zhou
D. Yin
GNN
190
264
0
24 Oct 2018
Node Representation Learning for Directed Graphs
Node Representation Learning for Directed Graphs
Megha Khosla
Jurek Leonhardt
Wolfgang Nejdl
Avishek Anand
144
60
0
22 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Predict then Propagate: Graph Neural Networks meet Personalized PageRank
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
GNN
872
1,905
0
14 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
541
1,841
0
04 Oct 2018
Deep Graph Infomax
Deep Graph InfomaxInternational Conference on Learning Representations (ICLR), 2018
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
498
2,755
0
27 Sep 2018
Wasserstein Autoencoders for Collaborative Filtering
Wasserstein Autoencoders for Collaborative Filtering
Jingbin Zhong
Xiaofeng Zhang
87
26
0
15 Sep 2018
Poisoning Attacks to Graph-Based Recommender Systems
Poisoning Attacks to Graph-Based Recommender Systems
Minghong Fang
Guolei Yang
Neil Zhenqiang Gong
Jia-Wei Liu
AAML
126
221
0
11 Sep 2018
HyperGCN: A New Method of Training Graph Convolutional Networks on
  Hypergraphs
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs
N. Yadati
M. Nimishakavi
Prateek Yadav
Vikram Nitin
Anand Louis
Partha P. Talukdar
GNN
285
36
0
07 Sep 2018
Convolutional Geometric Matrix Completion
Convolutional Geometric Matrix Completion
Kai-Lang Yao
Wu-Jun Li
Jianbo Yang
Xinyan Lu
GNN
143
9
0
02 Mar 2018
Graph2Seq: Scalable Learning Dynamics for Graphs
Graph2Seq: Scalable Learning Dynamics for Graphs
S. Venkatakrishnan
Mohammad Alizadeh
Pramod Viswanath
GNN
184
12
0
14 Feb 2018
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis
Rushil Anirudh
Jayaraman J. Thiagarajan
R. Sridhar
T. Bremer
FAttAAML
303
12
0
15 Nov 2017
DynaMo: Dynamic Community Detection by Incrementally Maximizing
  Modularity
DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity
Di Zhuang
Jerome Chang
Mingchen Li
183
88
0
25 Sep 2017
Graph Convolutional Matrix Completion
Graph Convolutional Matrix Completion
Rianne van den Berg
Thomas Kipf
Max Welling
GNN
337
1,389
0
07 Jun 2017
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
A Unifying View of Explicit and Implicit Feature Maps of Graph Kernels
Nils M. Kriege
Marion Neumann
Christopher Morris
Kristian Kersting
Petra Mutzel
182
24
0
02 Mar 2017
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