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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
Structure fusion based on graph convolutional networks for
  semi-supervised classification
Structure fusion based on graph convolutional networks for semi-supervised classification
Guangfeng Lin
Jing Wang
Kaiyang Liao
Fan Zhao
Wanjun Chen
30
6
0
02 Jul 2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
J. Qiu
Yuxiao Dong
Hao Ma
Jun Yu Li
Chi Wang
Kuansan Wang
Jie Tang
56
173
0
26 Jun 2019
Deep Conversational Recommender in Travel
Deep Conversational Recommender in Travel
Lizi Liao
Ryuichi Takanobu
Yunshan Ma
Xun Yang
Minlie Huang
Tat-Seng Chua
BDL
75
47
0
25 Jun 2019
Popularity Prediction on Social Platforms with Coupled Graph Neural
  Networks
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks
Qi Cao
Huawei Shen
Jinhua Gao
Bingzheng Wei
Xueqi Cheng
GNN
64
136
0
21 Jun 2019
Neural Networks on Groups
Neural Networks on Groups
Stella Biderman
50
1
0
13 Jun 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
102
498
0
11 Jun 2019
Learning Individual Causal Effects from Networked Observational Data
Learning Individual Causal Effects from Networked Observational Data
Ruocheng Guo
Wenlin Yao
Huan Liu
CMLOOD
75
97
0
08 Jun 2019
Coherent Comment Generation for Chinese Articles with a
  Graph-to-Sequence Model
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
Wei Li
Jingjing Xu
Yancheng He
Shengli Yan
Yunfang Wu
Xu Sun
80
47
0
04 Jun 2019
Pre-Training Graph Neural Networks for Generic Structural Feature
  Extraction
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
Ziniu Hu
Changjun Fan
Ting-Li Chen
Kai-Wei Chang
Yizhou Sun
63
44
0
31 May 2019
Strategies for Pre-training Graph Neural Networks
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSLAI4CE
130
1,419
0
29 May 2019
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative
  Filtering
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering
Liwei Wu
Hsiang-Fu Yu
Nikhil S. Rao
James Sharpnack
Cho-Jui Hsieh
GNN
28
10
0
29 May 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TSAI4CEGNN
105
464
0
27 May 2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network
  Representations of Social Network
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
Hao Wang
Tong Xu
Qi Liu
Defu Lian
Enhong Chen
Dongfang Du
Han Wu
Wen Su
79
118
0
27 May 2019
Graph Attention Auto-Encoders
Graph Attention Auto-Encoders
Amin Salehi
H. Davulcu
GNN
72
122
0
26 May 2019
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Ninghao Liu
Qiaoyu Tan
Yuening Li
Hongxia Yang
Jingren Zhou
Helen Zhou
84
86
0
25 May 2019
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Ryoma Sato
M. Yamada
H. Kashima
GNN
121
128
0
24 May 2019
Learning Cross-Domain Representation with Multi-Graph Neural Network
Learning Cross-Domain Representation with Multi-Graph Neural Network
Ouyang Yi
Bin Guo
Xing Tang
Xiuqiang He
Jian Xiong
Zhiwen Yu
AI4CE
63
18
0
24 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering
Power up! Robust Graph Convolutional Network via Graph Powering
Ming Jin
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
AAMLGNN
123
27
0
24 May 2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural
  Networks
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
Namyong Park
Andrey Kan
Xin Luna Dong
Tong Zhao
Christos Faloutsos
76
158
0
21 May 2019
Joint embedding of structure and features via graph convolutional
  networks
Joint embedding of structure and features via graph convolutional networks
Sébastien Lerique
Jacob Levy Abitbol
M. Karsai
GNN
48
30
0
21 May 2019
Neural Graph Collaborative Filtering
Neural Graph Collaborative Filtering
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
196
3,017
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
158
1,289
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
69
369
0
14 May 2019
Universal Invariant and Equivariant Graph Neural Networks
Universal Invariant and Equivariant Graph Neural Networks
Nicolas Keriven
Gabriel Peyré
208
294
0
13 May 2019
Stability Properties of Graph Neural Networks
Stability Properties of Graph Neural Networks
Fernando Gama
Joan Bruna
Alejandro Ribeiro
106
236
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
78
554
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
MedImAI4CE
91
154
0
06 May 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPooling
Yao Ma
Suhang Wang
Charu C. Aggarwal
Jiliang Tang
GNN
185
337
0
30 Apr 2019
Inductive Matrix Completion Based on Graph Neural Networks
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
94
238
0
26 Apr 2019
Deep Representation Learning for Social Network Analysis
Deep Representation Learning for Social Network Analysis
Qiaoyu Tan
Ninghao Liu
Helen Zhou
AI4TSGNN
58
105
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
73
125
0
08 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPCGNN
161
1,354
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
MedImGNN
88
59
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
79
53
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
76
389
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
62
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
OffRLCML
102
323
0
25 Mar 2019
Equivariant Entity-Relationship Networks
Equivariant Entity-Relationship Networks
Devon R. Graham
Junhao Wang
Siamak Ravanbakhsh
62
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
72
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
Minyi Guo
88
938
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
82
26
0
16 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks
Fisher-Bures Adversary Graph Convolutional Networks
Ke Sun
Piotr Koniusz
Zhen Wang
GNN
60
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
163
1,336
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
113
221
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
Jiliang Tang
Dawei Yin
270
1,914
0
19 Feb 2019
Context-Aware Visual Compatibility Prediction
Context-Aware Visual Compatibility Prediction
Guillem Cucurull
Perouz Taslakian
David Vazquez
87
99
0
10 Feb 2019
Hypergraph Convolution and Hypergraph Attention
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Philip Torr
GNN
114
632
0
23 Jan 2019
Constant Time Graph Neural Networks
Constant Time Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNN
79
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
117
260
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
61
23
0
16 Jan 2019
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