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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
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing
  System Using Gated Graph Neural Network
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural NetworkACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021
Jianguo Chen
KenLi Li
Keqin Li
Philip S. Yu
Zeng Zeng
186
87
0
19 Jan 2021
Hybrid Quantum-Classical Graph Convolutional Network
Hybrid Quantum-Classical Graph Convolutional Network
Samuel Yen-Chi Chen
T. Wei
Chao Zhang
Haiwang Yu
Shinjae Yoo
GNN
169
43
0
15 Jan 2021
Dynamic Graph Collaborative Filtering
Dynamic Graph Collaborative FilteringIndustrial Conference on Data Mining (IDM), 2020
Xiaohan Li
Mengqi Zhang
Shu Wu
Zheng Liu
Liang Wang
Philip S. Yu
256
81
0
08 Jan 2021
User Response Prediction in Online Advertising
User Response Prediction in Online AdvertisingACM Computing Surveys (CSUR), 2021
Zhabiz Gharibshah
Xingquan Zhu
OffRL
245
64
0
07 Jan 2021
Taxonomy Completion via Triplet Matching Network
Taxonomy Completion via Triplet Matching NetworkAAAI Conference on Artificial Intelligence (AAAI), 2021
Jieyu Zhang
Xiangchen Song
Ying Zeng
Jiaze Chen
Jiaming Shen
Yuning Mao
Lei Li
235
43
0
06 Jan 2021
Hop-Hop Relation-aware Graph Neural Networks
Hop-Hop Relation-aware Graph Neural Networks
Li Zhang
Yan Ge
Haiping Lu
GNN
128
8
0
21 Dec 2020
Semi-supervised Hyperspectral Image Classification with Graph Clustering
  Convolutional Networks
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks
Hao Zeng
Qingjie Liu
Mingming Zhang
Xiaoqing Han
Yunhong Wang
GNN
160
16
0
20 Dec 2020
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism
M. Dearing
Hadjer Benkraouda
GNNAI4CE
94
3
0
20 Dec 2020
An Experimental Study of the Transferability of Spectral Graph Networks
An Experimental Study of the Transferability of Spectral Graph Networks
Axel Nilsson
Xavier Bresson
161
4
0
18 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and TrendsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
615
166
0
16 Dec 2020
Hierarchical Graph Capsule Network
Hierarchical Graph Capsule NetworkAAAI Conference on Artificial Intelligence (AAAI), 2020
Jinyu Yang
P. Zhao
Yu Rong
Chao-chao Yan
Chunyuan Li
Hehuan Ma
Junzhou Huang
291
35
0
16 Dec 2020
Compilation Techniques for Graph Algorithms on GPUs
Compilation Techniques for Graph Algorithms on GPUs
Ajay Brahmakshatriya
Yunming Zhang
Changwan Hong
Shoaib Kamil
Julian Shun
Saman P. Amarasinghe
GNN
287
1
0
14 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization
Bipartite Graph Embedding via Mutual Information MaximizationWeb Search and Data Mining (WSDM), 2020
Jiangxia Cao
Xixun Lin
Shu Guo
Luchen Liu
Tingwen Liu
Bin Wang
256
130
0
10 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised
  Classification
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification
Rui Yang
Wenrui Dai
Chenglin Li
Junni Zou
H. Xiong
417
26
0
07 Dec 2020
Unify Local and Global Information for Top-$N$ Recommendation
Unify Local and Global Information for Top-NNN RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Xiaoming Liu
Shaocong Wu
Zhaohan Zhang
Chao Shen
129
10
0
03 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers
Hanqing Zeng
Muhan Zhang
Yinglong Xia
Ajitesh Srivastava
Andrey Malevich
Rajgopal Kannan
Viktor Prasanna
Long Jin
Ren Chen
GNN
375
24
0
02 Dec 2020
RRCN: A Reinforced Random Convolutional Network based Reciprocal
  Recommendation Approach for Online Dating
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating
Linhao Luo
Liqi Yang
Ju Xin
Yixiang Fang
Xiaofeng Zhang
Xiaofei Yang
Kai Chen
Zhiyuan Zhang
Kai Liu
105
3
0
25 Nov 2020
APAN: Asynchronous Propagation Attention Network for Real-time Temporal
  Graph Embedding
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
Xuhong Wang
Ding Lyu
Mengjian Li
Yang Xia
Qi Yang
...
Xinguang Wang
Ping Cui
Yupu Yang
Bowen Sun
Zhenyu Guo
GNN
475
180
0
23 Nov 2020
Scalable Graph Neural Networks for Heterogeneous Graphs
Scalable Graph Neural Networks for Heterogeneous Graphs
Lingfan Yu
Jiajun Shen
Jinyang Li
Adam Lerer
GNN
163
58
0
19 Nov 2020
Design Space for Graph Neural Networks
Design Space for Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2020
Jiaxuan You
Rex Ying
J. Leskovec
GNNAI4CE
404
366
0
17 Nov 2020
Heterogeneous Graph Collaborative Filtering
Heterogeneous Graph Collaborative Filtering
Zekun Li
Yujia Zheng
Shu Wu
Xiaoyu Zhang
Liang Wang
167
6
0
13 Nov 2020
Attentive Social Recommendation: Towards User And Item Diversities
Attentive Social Recommendation: Towards User And Item Diversities
Dongsheng Luo
Yuchen Bian
Xiang Zhang
Jun Huan
83
4
0
09 Nov 2020
Parameterized Explainer for Graph Neural Network
Parameterized Explainer for Graph Neural Network
Dongsheng Luo
Wei Cheng
Dongkuan Xu
Wenchao Yu
Bo Zong
Haifeng Chen
Xiang Zhang
373
685
0
09 Nov 2020
Adversarial Counterfactual Learning and Evaluation for Recommender
  System
Adversarial Counterfactual Learning and Evaluation for Recommender System
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
OffRLCML
176
34
0
08 Nov 2020
ASFGNN: Automated Separated-Federated Graph Neural Network
ASFGNN: Automated Separated-Federated Graph Neural Network
Longfei Zheng
Jun Zhou
Chaochao Chen
Bingzhe Wu
L. xilinx Wang
Benyu Zhang
FedMLGNN
185
82
0
06 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
834
1,554
0
04 Nov 2020
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference
Michael Lui
Yavuz Yetim
Özgür Özkan
Zhuoran Zhao
Shin-Yeh Tsai
Carole-Jean Wu
Mark Hempstead
GNNBDLLRM
280
57
0
04 Nov 2020
Learning on Attribute-Missing Graphs
Learning on Attribute-Missing Graphs
Xu Chen
Siheng Chen
Jiangchao Yao
Huangjie Zheng
Ya Zhang
Ivor W Tsang
145
122
0
03 Nov 2020
GAIN: Graph Attention & Interaction Network for Inductive
  Semi-Supervised Learning over Large-scale Graphs
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale GraphsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Yunpeng Weng
Xu Chen
Liang Chen
Wei Liu
GNN
126
13
0
03 Nov 2020
Handling Missing Data with Graph Representation Learning
Handling Missing Data with Graph Representation LearningNeural Information Processing Systems (NeurIPS), 2020
Jiaxuan You
Xiaobai Ma
D. Ding
Mykel Kochenderfer
J. Leskovec
156
229
0
30 Oct 2020
Scalable Graph Neural Networks via Bidirectional Propagation
Scalable Graph Neural Networks via Bidirectional PropagationNeural Information Processing Systems (NeurIPS), 2020
Ming Chen
Zhewei Wei
Bolin Ding
Yaliang Li
Ye Yuan
Xiaoyong Du
Ji-Rong Wen
GNN
334
168
0
29 Oct 2020
GraphMDN: Leveraging graph structure and deep learning to solve inverse
  problems
GraphMDN: Leveraging graph structure and deep learning to solve inverse problemsIEEE International Joint Conference on Neural Network (IJCNN), 2020
Tuomas P. Oikarinen
Daniel C. Hannah
Sohrob Kazerounian
BDLGNN
217
37
0
26 Oct 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative
  Homogeneous Graph Neural Networks
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks
Hao Tang
Zhiao Huang
Jiayuan Gu
Bao-Liang Lu
Hao Su
AI4CE
165
10
0
26 Oct 2020
Co-embedding of Nodes and Edges with Graph Neural Networks
Co-embedding of Nodes and Edges with Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Xiaodong Jiang
Ronghang Zhu
Pengsheng Ji
Sheng Li
GNN
197
96
0
25 Oct 2020
Efficient, Simple and Automated Negative Sampling for Knowledge Graph
  Embedding
Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding
Yongqi Zhang
Quanming Yao
Lei Chen
BDL
237
7
0
24 Oct 2020
Graph Information Bottleneck
Graph Information BottleneckNeural Information Processing Systems (NeurIPS), 2020
Tailin Wu
Hongyu Ren
Pan Li
J. Leskovec
AAML
348
299
0
24 Oct 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference
  Method
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
Fuli Feng
Weiran Huang
Xiangnan He
Xin Xin
Qifan Wang
Tat-Seng Chua
GNNCML
203
68
0
22 Oct 2020
Metapath- and Entity-aware Graph Neural Network for Recommendation
Metapath- and Entity-aware Graph Neural Network for Recommendation
Muhammad Umer Anwaar
Zhiwei Han
Shyam Arumugaswamy
Rayyan Ahmad Khan
Thomas Weber
Tianming Qiu
Hao Shen
Yuanting Liu
M. Kleinsteuber
141
11
0
22 Oct 2020
Basket Recommendation with Multi-Intent Translation Graph Neural Network
Basket Recommendation with Multi-Intent Translation Graph Neural Network
Zhiwei Liu
Xiaohan Li
Ziwei Fan
Stephen D. Guo
Kannan Achan
Philip S. Yu
217
50
0
22 Oct 2020
Rethinking pooling in graph neural networks
Rethinking pooling in graph neural networks
Diego Mesquita
Amauri Souza
Samuel Kaski
GNNAI4CE
458
136
0
22 Oct 2020
Self-supervised Graph Learning for Recommendation
Self-supervised Graph Learning for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Jiancan Wu
Xiang Wang
Fuli Feng
Xiangnan He
Liang Chen
Jianxun Lian
Xing Xie
SSL
641
1,488
0
21 Oct 2020
Directed Graph Representation through Vector Cross Product
Directed Graph Representation through Vector Cross Product
Ramanujam Madhavan
Mohit Wadhwa
54
2
0
21 Oct 2020
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Action Sequence Augmentation for Early Graph-based Anomaly DetectionInternational Conference on Information and Knowledge Management (CIKM), 2020
Tong Zhao
Bo Ni
Wenhao Yu
Zhichun Guo
Neil Shah
Meng Jiang
304
22
0
20 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs
Robust Optimization as Data Augmentation for Large-scale GraphsComputer Vision and Pattern Recognition (CVPR), 2020
Kezhi Kong
Ge Li
Mucong Ding
Zuxuan Wu
Chen Zhu
Guohao Li
Gavin Taylor
Tom Goldstein
268
100
0
19 Oct 2020
Discriminability of Single-Layer Graph Neural Networks
Discriminability of Single-Layer Graph Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Samuel Pfrommer
Fernando Gama
Alejandro Ribeiro
269
11
0
17 Oct 2020
Predicting Biomedical Interactions with Higher-Order Graph Convolutional
  Networks
Predicting Biomedical Interactions with Higher-Order Graph Convolutional NetworksIEEE/ACM Transactions on Computational Biology & Bioinformatics (TCBB), 2020
K. Kishan
Rui Li
F. Cui
Anne R. Haake
GNN
117
32
0
16 Oct 2020
Towards Expressive Graph Representation
Towards Expressive Graph Representation
Chengsheng Mao
Liang Yao
Yuan Luo
274
3
0
12 Oct 2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale
  Graphs
DistDGL: Distributed Graph Neural Network Training for Billion-Scale GraphsWorkshop on Irregular Applications: Architectures and Algorithms (IAAA), 2020
Da Zheng
Chao Ma
Minjie Wang
Jinjing Zhou
Qidong Su
Xiang Song
Quan Gan
Zheng Zhang
George Karypis
FedMLGNN
419
290
0
11 Oct 2020
Accurate, Efficient and Scalable Training of Graph Neural Networks
Accurate, Efficient and Scalable Training of Graph Neural Networks
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
Rajgopal Kannan
Viktor Prasanna
GNN
66
9
0
05 Oct 2020
CopulaGNN: Towards Integrating Representational and Correlational Roles
  of Graphs in Graph Neural Networks
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2020
Jiaqi Ma
B. Chang
Xuefei Zhang
Qiaozhu Mei
252
15
0
05 Oct 2020
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