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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
Improving Graph Attention Networks with Large Margin-based Constraints
Improving Graph Attention Networks with Large Margin-based Constraints
Guangtao Wang
Rex Ying
Jing-ling Huang
J. Leskovec
17
80
0
25 Oct 2019
KRED: Knowledge-Aware Document Representation for News Recommendations
KRED: Knowledge-Aware Document Representation for News Recommendations
Danyang Liu
Jianxun Lian
Shiyin Wang
Ying Qiao
Jiun-Hung Chen
Guangzhong Sun
Xing Xie
8
1
0
25 Oct 2019
Selective Attention Based Graph Convolutional Networks for Aspect-Level
  Sentiment Classification
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification
Xiaochen Hou
Jing Huang
Guangtao Wang
Xiaodong He
Bowen Zhou
16
52
0
24 Oct 2019
Predicting origin-destination ride-sourcing demand with a
  spatio-temporal encoder-decoder residual multi-graph convolutional network
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
Jintao Ke
Xiaoran Qin
Hai Yang
Zhengfei Zheng
Zheng Zhu
Jieping Ye
AI4TS
27
151
0
17 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs
DeepGCNs: Making GCNs Go as Deep as CNNs
G. Li
Matthias Muller
Guocheng Qian
Itzel C. Delgadillo
Abdulellah Abualshour
Ali K. Thabet
Bernard Ghanem
3DPC
GNN
24
167
0
15 Oct 2019
Characterizing Deep Learning Training Workloads on Alibaba-PAI
Characterizing Deep Learning Training Workloads on Alibaba-PAI
Mengdi Wang
Chen Meng
Guoping Long
Chuan Wu
Jun Yang
Wei Lin
Yangqing Jia
17
53
0
14 Oct 2019
Dynamic Embedding on Textual Networks via a Gaussian Process
Dynamic Embedding on Textual Networks via a Gaussian Process
Pengyu Cheng
Yitong Li
D. Ponsa
Liqun Cheng
David Carlson
Gary R. Bradski
9
10
0
05 Oct 2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional
  Networks for Link Prediction
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
Ling Cai
Bo Yan
Gengchen Mai
K. Janowicz
Rui Zhu
GNN
14
75
0
01 Oct 2019
Overlapping Community Detection with Graph Neural Networks
Overlapping Community Detection with Graph Neural Networks
Oleksandr Shchur
Stephan Günnemann
GNN
11
129
0
26 Sep 2019
Hyperspectral Image Classification With Context-Aware Dynamic Graph
  Convolutional Network
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network
Sheng Wan
Chen Gong
P. Zhong
Shirui Pan
Guangyu Li
Jian Yang
13
145
0
26 Sep 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training
  Unit
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit
John Palowitch
Bryan Perozzi
6
19
0
25 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
189
744
0
03 Sep 2019
Graph Representation Learning: A Survey
Graph Representation Learning: A Survey
Fenxiao Chen
Yun Cheng Wang
Bin Wang
C.-C. Jay Kuo
GNN
AI4TS
8
201
0
03 Sep 2019
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload
  Rebalancing
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing
Tong Geng
Ang Li
Runbin Shi
Chunshu Wu
Tianqi Wang
...
Pouya Haghi
Antonino Tumeo
Shuai Che
Steve Reinhardt
Martin C. Herbordt
GNN
13
8
0
23 Aug 2019
Spam Review Detection with Graph Convolutional Networks
Spam Review Detection with Graph Convolutional Networks
Ao Li
Zhou Qin
Runshi Liu
Yiqun Yang
Dong Li
GNN
14
242
0
22 Aug 2019
Towards Knowledge-Based Recommender Dialog System
Towards Knowledge-Based Recommender Dialog System
Qibin Chen
Junyang Lin
Yichang Zhang
Ming Ding
Yukuo Cen
Hongxia Yang
Jie Tang
14
237
0
15 Aug 2019
GraphSW: a training protocol based on stage-wise training for GNN-based
  Recommender Model
GraphSW: a training protocol based on stage-wise training for GNN-based Recommender Model
Chang-You Tai
Meng-Ru Wu
Yun-Wei Chu
Shao-Yu Chu
4
3
0
13 Aug 2019
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
11
125
0
07 Aug 2019
Learning a Unified Embedding for Visual Search at Pinterest
Learning a Unified Embedding for Visual Search at Pinterest
Andrew Zhai
Hao-Yu Wu
Eric Tzeng
Dong Huk Park
Charles R. Rosenberg
DML
14
50
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
6
316
0
31 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social
  Recommendation
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
KyungHyun Kim
Donghyun Kwak
Hanock Kwak
Young-Jin Park
Sangkwon Sim
Jae-Han Cho
Minkyu Kim
Jihun Kwon
Nako Sung
Jung-Woo Ha
13
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-Qin Zhang
Ivor W. Tsang
20
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
19
79
0
19 Jul 2019
DeepTrax: Embedding Graphs of Financial Transactions
DeepTrax: Embedding Graphs of Financial Transactions
C. B. Bruss
Anish Khazane
Jonathan Rider
R. Serpe
Antonia Gogoglou
Keegan E. Hines
AIFin
GNN
16
43
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
22
3
0
15 Jul 2019
Semi-Supervised Graph Embedding for Multi-Label Graph Node
  Classification
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification
Kaisheng Gao
Jing Zhang
Cangqi Zhou
19
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
8
9
0
12 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
R. Kannan
Viktor Prasanna
GNN
49
947
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
13
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
17
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
11
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
12
169
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
9
45
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
14
130
0
21 Jun 2019
Neural Networks on Groups
Neural Networks on Groups
Stella Biderman
17
1
0
13 Jun 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
8
489
0
11 Jun 2019
Learning Individual Causal Effects from Networked Observational Data
Learning Individual Causal Effects from Networked Observational Data
Ruocheng Guo
Jundong Li
Huan Liu
CML
OOD
9
96
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
10
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
22
43
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
SSL
AI4CE
12
1,357
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
6
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
AI4TS
AI4CE
GNN
18
445
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 Bill Xu
Qi Liu
Defu Lian
Enhong Chen
Dongfang Du
Han Wu
Wen Su
8
114
0
27 May 2019
Graph Attention Auto-Encoders
Graph Attention Auto-Encoders
Amin Salehi
H. Davulcu
GNN
9
116
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
Xia Hu
14
87
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
15
126
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
23
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
AAML
GNN
6
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
14
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
12
30
0
21 May 2019
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