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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 / 1,342 papers shown
Title
HATS: A Hierarchical Graph Attention Network for Stock Movement
  Prediction
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
Raehyun Kim
Chan Ho So
Minbyul Jeong
Sanghoon Lee
Jinkyu Kim
Jaewoo Kang
AIFin
196
153
0
07 Aug 2019
Learning a Unified Embedding for Visual Search at Pinterest
Learning a Unified Embedding for Visual Search at PinterestKnowledge Discovery and Data Mining (KDD), 2019
Andrew Zhai
Hao-Yu Wu
Eric Tzeng
Dong Huk Park
Charles R. Rosenberg
DML
132
58
0
05 Aug 2019
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional
  Networks for Financial Forensics
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics
Mark Weber
Giacomo Domeniconi
Jie Chen
D. Weidele
Claudio Bellei
Tom Robinson
C. E. Leiserson
212
382
0
31 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social
  Recommendation
Tripartite Heterogeneous Graph Propagation for Large-scale Social RecommendationACM Conference on Recommender Systems (RecSys), 2019
KyungHyun Kim
Donghyun Kwak
Hanock Kwak
Young-Jin Park
Sangkwon Sim
Jae-Han Cho
Minkyu Kim
Jihun Kwon
Nako Sung
Jung-Woo Ha
173
19
0
24 Jul 2019
Node Attribute Generation on Graphs
Node Attribute Generation on Graphs
Xu Chen
Siheng Chen
Huangjie Zheng
Jiangchao Yao
Kenan Cui
Ya Zhang
Ivor W. Tsang
104
2
0
23 Jul 2019
A Graph Neural Network Approach for Scalable Wireless Power Control
A Graph Neural Network Approach for Scalable Wireless Power Control
Yifei Shen
Yuanming Shi
Jun Zhang
Khaled B. Letaief
GNN
131
85
0
19 Jul 2019
DeepTrax: Embedding Graphs of Financial Transactions
DeepTrax: Embedding Graphs of Financial TransactionsInternational Conference on Machine Learning and Applications (ICMLA), 2019
C. Bayan Bruss
Anish Khazane
Jonathan Rider
R. Serpe
Antonia Gogoglou
Keegan E. Hines
AIFinGNN
153
50
0
16 Jul 2019
A Novel User Representation Paradigm for Making Personalized Candidate
  Retrieval
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval
Zheng Liu
Yu Xing
Jianxun Lian
Defu Lian
Ziyao Li
Xing Xie
113
3
0
15 Jul 2019
Semi-Supervised Graph Embedding for Multi-Label Graph Node
  Classification
Semi-Supervised Graph Embedding for Multi-Label Graph Node ClassificationWISE (WISE), 2019
Kaisheng Gao
Jing Zhang
Cangqi Zhou
65
8
0
12 Jul 2019
Learning a Static Bug Finder from Data
Learning a Static Bug Finder from Data
Yu Wang
Fengjuan Gao
Linzhang Wang
Ke Wang
201
9
0
12 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning MethodInternational Conference on Learning Representations (ICLR), 2019
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
494
1,070
0
10 Jul 2019
Label-Aware Graph Convolutional Networks
Label-Aware Graph Convolutional Networks
Hao Chen
Yue Xu
Lu Wang
Dijun Luo
Wenbing Huang
Senzhang Wang
Peng He
Zhoujun Li
143
8
0
10 Jul 2019
Spectral Overlap and a Comparison of Parameter-Free, Dimensionality
  Reduction Quality Metrics
Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality Metrics
Jonathan Johannemann
Robert Tibshirani
47
2
0
03 Jul 2019
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
116
6
0
02 Jul 2019
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
NetSMF: Large-Scale Network Embedding as Sparse Matrix FactorizationThe Web Conference (WWW), 2019
J. Qiu
Yuxiao Dong
Hao Ma
Jun Yu Li
Chi Wang
Kuansan Wang
Jie Tang
111
176
0
26 Jun 2019
Deep Conversational Recommender in Travel
Deep Conversational Recommender in Travel
Lizi Liao
Ryuichi Takanobu
Yunshan Ma
Xun Yang
Shiyu Huang
Tat-Seng Chua
BDL
158
50
0
25 Jun 2019
Popularity Prediction on Social Platforms with Coupled Graph Neural
  Networks
Popularity Prediction on Social Platforms with Coupled Graph Neural NetworksWeb Search and Data Mining (WSDM), 2019
Qi Cao
Huawei Shen
Jinhua Gao
Bingzheng Wei
Xueqi Cheng
GNN
196
147
0
21 Jun 2019
Neural Networks on Groups
Neural Networks on Groups
Stella Biderman
95
1
0
13 Jun 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2019
Jiaxuan You
Rex Ying
J. Leskovec
269
548
0
11 Jun 2019
Learning Individual Causal Effects from Networked Observational Data
Learning Individual Causal Effects from Networked Observational DataWeb Search and Data Mining (WSDM), 2019
Ruocheng Guo
Wenlin Yao
Huan Liu
CMLOOD
254
104
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 ModelAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Wei Li
Jingjing Xu
Yancheng He
Shengli Yan
Yunfang Wu
Xu Sun
144
49
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
Luke Huan
130
47
0
31 May 2019
Strategies for Pre-training Graph Neural Networks
Strategies for Pre-training Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2019
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Abigail Z. Jacobs
Vijay S. Pande
J. Leskovec
SSLAI4CE
373
1,623
0
29 May 2019
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative
  Filtering
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative FilteringInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Liwei Wu
Hsiang-Fu Yu
Nikhil S. Rao
James Sharpnack
Cho-Jui Hsieh
GNN
147
10
0
29 May 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A SurveyJournal of machine learning research (JMLR), 2019
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TSAI4CEGNN
262
534
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 NetworkKnowledge Discovery and Data Mining (KDD), 2019
Hao Wang
Tong Xu
Qi Liu
Defu Lian
Enhong Chen
Dongfang Du
Han Wu
Wen Su
139
125
0
27 May 2019
Graph Attention Auto-Encoders
Graph Attention Auto-EncodersIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019
Amin Salehi
H. Davulcu
GNN
97
151
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 EmbeddingKnowledge Discovery and Data Mining (KDD), 2019
Ninghao Liu
Qiaoyu Tan
Yuening Li
Hongxia Yang
Jingren Zhou
Helen Zhou
150
88
0
25 May 2019
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
Approximation Ratios of Graph Neural Networks for Combinatorial ProblemsNeural Information Processing Systems (NeurIPS), 2019
Ryoma Sato
M. Yamada
H. Kashima
GNN
321
137
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
90
21
0
24 May 2019
Power up! Robust Graph Convolutional Network via Graph Powering
Power up! Robust Graph Convolutional Network via Graph PoweringAAAI Conference on Artificial Intelligence (AAAI), 2019
Ming Jin
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
AAMLGNN
257
28
0
24 May 2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural
  Networks
Estimating Node Importance in Knowledge Graphs Using Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2019
Namyong Park
Andrey Kan
Xin Luna Dong
Tong Zhao
Christos Faloutsos
189
171
0
21 May 2019
Joint embedding of structure and features via graph convolutional
  networks
Joint embedding of structure and features via graph convolutional networksApplied Network Science (Appl Netw Sci), 2019
Sébastien Lerique
Jacob Levy Abitbol
M. Karsai
GNN
186
33
0
21 May 2019
Neural Graph Collaborative Filtering
Neural Graph Collaborative FilteringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
382
3,443
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 NetworksKnowledge Discovery and Data Mining (KDD), 2019
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
351
1,436
0
20 May 2019
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image
  Classification
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
Sheng Wan
Chen Gong
P. Zhong
Bo Du
Lefei Zhang
Zhiqiang Wang
127
416
0
14 May 2019
Universal Invariant and Equivariant Graph Neural Networks
Universal Invariant and Equivariant Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Nicolas Keriven
Gabriel Peyré
379
317
0
13 May 2019
Stability Properties of Graph Neural Networks
Stability Properties of Graph Neural NetworksIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019
Fernando Gama
Joan Bruna
Alejandro Ribeiro
346
254
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 SystemsKnowledge Discovery and Data Mining (KDD), 2019
Hongwei Wang
Fuzheng Zhang
Mengdi Zhang
J. Leskovec
Miao Zhao
Wenjie Li
Zhongyuan Wang
237
614
0
11 May 2019
Missing Data Imputation with Adversarially-trained Graph Convolutional
  Networks
Missing Data Imputation with Adversarially-trained Graph Convolutional NetworksNeural Networks (NN), 2019
Indro Spinelli
Simone Scardapane
A. Uncini
MedImAI4CE
139
177
0
06 May 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPoolingKnowledge Discovery and Data Mining (KDD), 2019
Yao Ma
Suhang Wang
Charu C. Aggarwal
Shucheng Zhou
GNN
334
350
0
30 Apr 2019
Inductive Matrix Completion Based on Graph Neural Networks
Inductive Matrix Completion Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
223
259
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
136
112
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
148
137
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
385
1,497
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
194
74
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
130
56
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
334
402
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
82
24
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
193
344
0
25 Mar 2019
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