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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
Deep Conversational Recommender Systems: A New Frontier for
  Goal-Oriented Dialogue Systems
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems
Dai Hoang Tran
Quan Z. Sheng
W. Zhang
S. Hamad
Munazza Zaib
Nguyen H. Tran
Lina Yao
N. Khoa
56
6
0
28 Apr 2020
SIGN: Scalable Inception Graph Neural Networks
SIGN: Scalable Inception Graph Neural Networks
Fabrizio Frasca
Emanuele Rossi
D. Eynard
B. Chamberlain
M. Bronstein
Federico Monti
GNN
160
402
0
23 Apr 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes
Scalable Attack on Graph Data by Injecting Vicious Nodes
Jihong Wang
Minnan Luo
Fnu Suya
Jundong Li
Z. Yang
Q. Zheng
AAMLGNN
87
90
0
22 Apr 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural
  Networks
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
Chaojie Ji
Ruxin Wang
Hongyan Wu
62
7
0
21 Apr 2020
Knowledge-guided Deep Reinforcement Learning for Interactive
  Recommendation
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
Xiaocong Chen
Chaoran Huang
Lina Yao
Xianzhi Wang
Wei Liu
Wenjie Zhang
129
36
0
17 Apr 2020
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph
  Neural Networks
Toward Subgraph-Guided Knowledge Graph Question Generation with Graph Neural Networks
Yu Chen
Lingfei Wu
Mohammed J Zaki
71
51
0
13 Apr 2020
A Graph Convolutional Network Composition Framework for Semi-supervised
  Classification
A Graph Convolutional Network Composition Framework for Semi-supervised Classification
Rahul Ragesh
Sundararajan Sellamanickam
Vijay Lingam
Arun Shankar Iyer
GNN
32
2
0
08 Apr 2020
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
Manqing Dong
Feng Yuan
Lina Yao
Xianzhi Wang
Xiwei Xu
Liming Zhu
61
8
0
08 Apr 2020
Graph Enhanced Representation Learning for News Recommendation
Graph Enhanced Representation Learning for News Recommendation
Suyu Ge
Chuhan Wu
Fangzhao Wu
Tao Qi
Yongfeng Huang
AI4TS
65
124
0
31 Mar 2020
Gossip and Attend: Context-Sensitive Graph Representation Learning
Gossip and Attend: Context-Sensitive Graph Representation Learning
Zekarias T. Kefato
Sarunas Girdzijauskas
36
7
0
30 Mar 2020
L$^2$-GCN: Layer-Wise and Learned Efficient Training of Graph
  Convolutional Networks
L2^22-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Yuning You
Tianlong Chen
Zhangyang Wang
Yang Shen
GNN
223
82
0
30 Mar 2020
Deep Learning on Knowledge Graph for Recommender System: A Survey
Deep Learning on Knowledge Graph for Recommender System: A Survey
Y. Gao
Yifan Li
Yu Lin
Hang Gao
Latifur Khan
82
48
0
25 Mar 2020
From Bit To Bedside: A Practical Framework For Artificial Intelligence
  Product Development In Healthcare
From Bit To Bedside: A Practical Framework For Artificial Intelligence Product Development In Healthcare
David C. Higgins
V. Madai
56
67
0
23 Mar 2020
Multi-Label Text Classification using Attention-based Graph Neural
  Network
Multi-Label Text Classification using Attention-based Graph Neural Network
Ankit Pal
M. Selvakumar
Malaikannan Sankarasubbu
100
80
0
22 Mar 2020
Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social
  Networks
Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social Networks
S. Ghafari
24
2
0
21 Mar 2020
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
391
173
0
09 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$-Order Feature
  Interactions
Cross-GCN: Enhancing Graph Convolutional Network with kkk-Order Feature Interactions
Fuli Feng
Xiangnan He
Hanwang Zhang
Tat-Seng Chua
106
11
0
05 Mar 2020
Learning to Hash with Graph Neural Networks for Recommender Systems
Learning to Hash with Graph Neural Networks for Recommender Systems
Qiaoyu Tan
Ninghao Liu
Xing Zhao
Hongxia Yang
Jingren Zhou
Helen Zhou
160
94
0
04 Mar 2020
Privacy-preserving Learning via Deep Net Pruning
Privacy-preserving Learning via Deep Net Pruning
Yangsibo Huang
Yushan Su
S. S. Ravi
Zhao Song
Sanjeev Arora
Keqin Li
MLT
68
16
0
04 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
612
956
0
02 Mar 2020
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks
SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks
Lumin Yang
Jiajie Zhuang
Hongbo Fu
Xiangzhi Wei
Kun Zhou
Youyi Zheng
118
31
0
02 Mar 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
Jianhong Zhang
Manli Zhang
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
74
12
0
28 Feb 2020
Advances in Collaborative Filtering and Ranking
Advances in Collaborative Filtering and Ranking
Liwei Wu
37
7
0
27 Feb 2020
Dual Graph Representation Learning
Dual Graph Representation Learning
Huiling Zhu
Xin Luo
Hankui Zhuo
GNN
24
0
0
25 Feb 2020
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
Yuanyuan Jin
Wei Zhang
Xiangnan He
Xinyu Wang
Xiao-le Wang
48
52
0
20 Feb 2020
Residual Correlation in Graph Neural Network Regression
Residual Correlation in Graph Neural Network Regression
Junteng Jia
Austin R. Benson
127
25
0
19 Feb 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph
  Convolutional Networks
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks
Tsubasa Takahashi
GNNAAML
150
37
0
19 Feb 2020
Inductive Representation Learning on Temporal Graphs
Inductive Representation Learning on Temporal Graphs
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
AI4CE
109
638
0
19 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and
  Deep Graph Neural Network
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
GNN
94
32
0
17 Feb 2020
Vertex-reinforced Random Walk for Network Embedding
Vertex-reinforced Random Walk for Network Embedding
Wenyi Xiao
Huan Zhao
V. Zheng
Yangqiu Song
3DV
41
8
0
11 Feb 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks
Differentiable Graph Module (DGM) for Graph Convolutional Networks
Anees Kazi
Luca Cosmo
Seyed-Ahmad Ahmadi
Nassir Navab
M. Bronstein
GNNMedIm
91
133
0
11 Feb 2020
Random Features Strengthen Graph Neural Networks
Random Features Strengthen Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNNAAML
81
240
0
08 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
211
3,722
0
06 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding
Guillaume Salha-Galvan
Romain Hennequin
Jean-Baptiste Remy
Manuel Moussallam
Michalis Vazirgiannis
GNNBDL
81
6
0
05 Feb 2020
Graph Convolution Machine for Context-aware Recommender System
Graph Convolution Machine for Context-aware Recommender System
Jiancan Wu
Xiangnan He
Xiang Wang
Qifan Wang
Weijia Chen
Jianxun Lian
Xing Xie
GNN
70
71
0
30 Jan 2020
Which way? Direction-Aware Attributed Graph Embedding
Which way? Direction-Aware Attributed Graph Embedding
Zekarias T. Kefato
Nasrullah Sheikh
A. Montresor
3DV
18
3
0
30 Jan 2020
Graph Neighborhood Attentive Pooling
Graph Neighborhood Attentive Pooling
Zekarias T. Kefato
Sarunas Girdzijauskas
GNN
46
6
0
28 Jan 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph
  Convolutional Network Approach
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Lei Chen
Le Wu
Richang Hong
Kun Zhang
Meng Wang
GNN
96
504
0
28 Jan 2020
Efficient and Stable Graph Scattering Transforms via Pruning
Efficient and Stable Graph Scattering Transforms via Pruning
V. Ioannidis
Siheng Chen
G. Giannakis
69
11
0
27 Jan 2020
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced
  Graph Neural Network
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
Jiaming Shen
Zhihong Shen
Chenyan Xiong
Chi Wang
Kuansan Wang
Jiawei Han
83
78
0
26 Jan 2020
Linking Bank Clients using Graph Neural Networks Powered by Rich
  Transactional Data
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data
Valentina Shumovskaia
Kirill Fedyanin
I. Sukharev
Dmitry Berestnev
Maxim Panov
61
27
0
23 Jan 2020
Physical-Virtual Collaboration Modeling for Intra-and Inter-Station
  Metro Ridership Prediction
Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction
Lingbo Liu
Jingwen Chen
Hefeng Wu
Jiajie Zhen
Guanbin Li
Liang Lin
54
10
0
14 Jan 2020
BasConv: Aggregating Heterogeneous Interactions for Basket
  Recommendation with Graph Convolutional Neural Network
BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network
Zhiwei Liu
Mengting Wan
Stephen D. Guo
Kannan Achan
Philip S. Yu
93
68
0
14 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture
HyGCN: A GCN Accelerator with Hybrid Architecture
Yurui Lai
Lei Deng
Xing Hu
Ling Liang
Yujing Feng
Xiaochun Ye
Zhimin Zhang
Xiaochun Ye
Yuan Xie
GNN
110
296
0
07 Jan 2020
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms
Hanqing Zeng
Viktor Prasanna
GNN
66
130
0
31 Dec 2019
A Gentle Introduction to Deep Learning for Graphs
A Gentle Introduction to Deep Learning for Graphs
D. Bacciu
Federico Errica
Alessio Micheli
Marco Podda
AI4CEGNN
135
281
0
29 Dec 2019
Solving Cold Start Problem in Recommendation with Attribute Graph Neural
  Networks
Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks
T. Qian
Yile Liang
Qing Li
CML
34
11
0
28 Dec 2019
Unsupervised Learning of Graph Hierarchical Abstractions with
  Differentiable Coarsening and Optimal Transport
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
Tengfei Ma
Jie Chen
71
25
0
24 Dec 2019
Expanding Label Sets for Graph Convolutional Networks
Expanding Label Sets for Graph Convolutional Networks
Mustafa Coşkun
Burcu Bakir-Gungor
Mehmet Koyutürk
GNN
29
2
0
18 Dec 2019
ragamAI: A Network Based Recommender System to Arrange a Indian
  Classical Music Concert
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert
A. Bagavathi
S. Krishnan
Sanjay Subrahmanyan
Narasimhan S. L.
22
0
0
08 Dec 2019
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