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

50 / 1,259 papers shown
Title
Neural Graph Collaborative Filtering
Neural Graph Collaborative Filtering
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
17
2,905
0
20 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph
  Convolutional Networks
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
11
1,252
0
20 May 2019
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image
  Classification
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification
Sheng Wan
Chen Gong
P. Zhong
Bo Du
Lefei Zhang
Jian Yang
14
359
0
14 May 2019
Universal Invariant and Equivariant Graph Neural Networks
Universal Invariant and Equivariant Graph Neural Networks
Nicolas Keriven
Gabriel Peyré
11
284
0
13 May 2019
Stability Properties of Graph Neural Networks
Stability Properties of Graph Neural Networks
Fernando Gama
Joan Bruna
Alejandro Ribeiro
17
226
0
11 May 2019
Knowledge-aware Graph Neural Networks with Label Smoothness
  Regularization for Recommender Systems
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
Hongwei Wang
Fuzheng Zhang
Mengdi Zhang
J. Leskovec
Miao Zhao
Wenjie Li
Zhongyuan Wang
9
543
0
11 May 2019
Missing Data Imputation with Adversarially-trained Graph Convolutional
  Networks
Missing Data Imputation with Adversarially-trained Graph Convolutional Networks
Indro Spinelli
Simone Scardapane
A. Uncini
MedIm
AI4CE
8
145
0
06 May 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
29
331
0
30 Apr 2019
Inductive Matrix Completion Based on Graph Neural Networks
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
17
231
0
26 Apr 2019
Deep Representation Learning for Social Network Analysis
Deep Representation Learning for Social Network Analysis
Qiaoyu Tan
Ninghao Liu
Xia Hu
AI4TS
GNN
11
99
0
18 Apr 2019
Hierarchical Temporal Convolutional Networks for Dynamic Recommender
  Systems
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
Jiaxuan You
Yichen Wang
Aditya Pal
Pong Eksombatchai
C. Rosenberg
J. Leskovec
20
124
0
08 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
DeepGCNs: Can GCNs Go as Deep as CNNs?
G. Li
Matthias Muller
Ali K. Thabet
Bernard Ghanem
3DPC
GNN
22
1,326
0
07 Apr 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for
  Disease Identification with Chest X-rays
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays
Chengsheng Mao
Liang Yao
Yuan Luo
MedIm
GNN
25
55
0
31 Mar 2019
Invariance-Preserving Localized Activation Functions for Graph Neural
  Networks
Invariance-Preserving Localized Activation Functions for Graph Neural Networks
Luana Ruiz
Fernando Gama
A. Marques
Alejandro Ribeiro
GNN
17
51
0
29 Mar 2019
PyTorch-BigGraph: A Large-scale Graph Embedding System
PyTorch-BigGraph: A Large-scale Graph Embedding System
Adam Lerer
Ledell Yu Wu
Jiajun Shen
Timothée Lacroix
Luca Wehrstedt
Abhijit Bose
A. Peysakhovich
GNN
6
384
0
28 Mar 2019
Multimodal Deep Network Embedding with Integrated Structure and
  Attribute Information
Multimodal Deep Network Embedding with Integrated Structure and Attribute Information
Conghui Zheng
Li Pan
Peng Wu
13
22
0
28 Mar 2019
Dual Graph Attention Networks for Deep Latent Representation of
  Multifaceted Social Effects in Recommender Systems
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
Qitian Wu
Hengrui Zhang
Xiaofeng Gao
Peng He
Paul Weng
Han Gao
Guihai Chen
OffRL
CML
11
317
0
25 Mar 2019
Equivariant Entity-Relationship Networks
Equivariant Entity-Relationship Networks
Devon R. Graham
Junhao Wang
Siamak Ravanbakhsh
6
8
0
21 Mar 2019
A Comparative Study for Unsupervised Network Representation Learning
A Comparative Study for Unsupervised Network Representation Learning
Megha Khosla
Vinay Setty
Avishek Anand
SSL
18
54
0
19 Mar 2019
Knowledge Graph Convolutional Networks for Recommender Systems
Knowledge Graph Convolutional Networks for Recommender Systems
Hongwei Wang
Miao Zhao
Xing Xie
Wenjie Li
M. Guo
14
909
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
25
26
0
16 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks
Fisher-Bures Adversary Graph Convolutional Networks
Ke Sun
Piotr Koniusz
Zhen Wang
GNN
11
34
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
20
1,282
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
OOD
AAML
23
215
0
20 Feb 2019
Graph Neural Networks for Social Recommendation
Graph Neural Networks for Social Recommendation
Wenqi Fan
Yao Ma
Qing Li
Yuan He
Y. Zhao
Jiliang Tang
Dawei Yin
20
1,849
0
19 Feb 2019
Context-Aware Visual Compatibility Prediction
Context-Aware Visual Compatibility Prediction
Guillem Cucurull
Perouz Taslakian
David Vazquez
11
99
0
10 Feb 2019
Hypergraph Convolution and Hypergraph Attention
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Philip H. S. Torr
GNN
12
609
0
23 Jan 2019
Constant Time Graph Neural Networks
Constant Time Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNN
13
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
14
253
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
22
23
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
8
27
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
FaML
GNN
AI4TS
AI4CE
150
8,342
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
6
119
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
AI4CE
GNN
28
5,397
0
20 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
22
1,318
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
GNN
SSL
12
13
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
H. Kanezashi
Tim Kaler
C. E. Leiserson
Tao B. Schardl
6
100
0
30 Nov 2018
Adversarial Classifier for Imbalanced Problems
Adversarial Classifier for Imbalanced Problems
Ehsan Montahaei
Mahsa Ghorbani
M. Baghshah
Hamid R. Rabiee
8
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 Networks
Mahsa Ghorbani
M. Baghshah
Hamid R. Rabiee
6
39
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
17
15
0
20 Nov 2018
Role action embeddings: scalable representation of network positions
Role action embeddings: scalable representation of network positions
George Berry
GNN
19
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
9
582
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
M. Wang
GNN
6
116
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
GNN
AI4CE
20
8
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
AAML
GNN
25
78
0
25 Oct 2018
Streaming Graph Neural Networks
Streaming Graph Neural Networks
Yao Ma
Ziyi Guo
Z. Ren
Eric Zhao
Jiliang Tang
Dawei Yin
GNN
11
236
0
24 Oct 2018
Node Representation Learning for Directed Graphs
Node Representation Learning for Directed Graphs
Megha Khosla
Jurek Leonhardt
Wolfgang Nejdl
Avishek Anand
13
54
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
74
1,649
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
10
1,603
0
04 Oct 2018
Deep Graph Infomax
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lió
Yoshua Bengio
R. Devon Hjelm
GNN
11
2,337
0
27 Sep 2018
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