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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
IA-GCN: Interactive Graph Convolutional Network for Recommendation
IA-GCN: Interactive Graph Convolutional Network for Recommendation
Yinan Zhang
Pei Wang
Congcong Liu
Xiwei Zhao
Hao Qi
Changping Peng
Junsheng Jin
Changping Peng
Zhangang Lin
Jingping Shao
GNN
149
15
0
08 Apr 2022
Accelerating Backward Aggregation in GCN Training with Execution Path
  Preparing on GPUs
Accelerating Backward Aggregation in GCN Training with Execution Path Preparing on GPUsIEEE Transactions on Parallel and Distributed Systems (TPDS), 2022
Shaoxian Xu
Zhiyuan Shao
Ci-Syuan Yang
Xiaofei Liao
Hai Jin
GNN
195
2
0
06 Apr 2022
MGDCF: Distance Learning via Markov Graph Diffusion for Neural
  Collaborative Filtering
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative FilteringIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Jun Hu
Bryan Hooi
Shengsheng Qian
Quan Fang
Changsheng Xu
110
49
0
05 Apr 2022
A Survey on Graph Representation Learning Methods
A Survey on Graph Representation Learning MethodsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Shima Khoshraftar
A. An
GNNAI4TS
342
197
0
04 Apr 2022
Synthetic Graph Generation to Benchmark Graph Learning
Synthetic Graph Generation to Benchmark Graph Learning
Anton Tsitsulin
Benedek Rozemberczki
John Palowitch
Bryan Perozzi
242
33
0
04 Apr 2022
Bayesian Negative Sampling for Recommendation
Bayesian Negative Sampling for RecommendationIEEE International Conference on Data Engineering (ICDE), 2022
B. Liu
Bang-wei Wang
BDL
278
11
0
02 Apr 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification
  and Recommendation
Neighbor Enhanced Graph Convolutional Networks for Node Classification and RecommendationKnowledge-Based Systems (KBS), 2022
Hao Chen
Zhong Huang
Yue Xu
Zengde Deng
Feiran Huang
Peng He
Zhoujun Li
GNN
149
62
0
30 Mar 2022
Revisiting Neighborhood-based Link Prediction for Collaborative
  Filtering
Revisiting Neighborhood-based Link Prediction for Collaborative FilteringThe Web Conference (WWW), 2022
Hao Xu
Patrick Poirson
Kwot Sin Lee
Chen Wang
192
20
0
29 Mar 2022
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement
  Retrieval System
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval SystemIEEE International Conference on Data Engineering (ICDE), 2022
Zhirong Xu
Shiyang Wen
Junshan Wang
Guojun Liu
Liang Wang
...
Lei Ding
Yan Zhang
Di Zhang
Han Zhu
Bo Zheng
132
11
0
28 Mar 2022
Addressing Missing Sources with Adversarial Support-Matching
Addressing Missing Sources with Adversarial Support-Matching
T. Kehrenberg
Myles Bartlett
V. Sharmanska
Novi Quadrianto
113
1
0
24 Mar 2022
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks
  with Partition-Parallelism and Random Boundary Node Sampling
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node SamplingConference on Machine Learning and Systems (MLSys), 2022
Cheng Wan
Youjie Li
Ang Li
Namjae Kim
Yingyan Lin
GNN
339
92
0
21 Mar 2022
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of InterestIEEE International Conference on Data Engineering (ICDE), 2022
Yuezihan Jiang
Yu Cheng
Hanyu Zhao
Wentao Zhang
Xupeng Miao
Yu He
Liang Wang
Zhi-Xin Yang
Tengjiao Wang
GNN
159
11
0
20 Mar 2022
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks
  with Pipelined Feature Communication
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature CommunicationInternational Conference on Learning Representations (ICLR), 2022
Cheng Wan
Youjie Li
Cameron R. Wolfe
Anastasios Kyrillidis
Namjae Kim
Yingyan Lin
GNN
226
85
0
20 Mar 2022
Few-Shot Learning on Graphs
Few-Shot Learning on GraphsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Chuxu Zhang
Kaize Ding
Jundong Li
Xiangliang Zhang
Yanfang Ye
Nitesh Chawla
Huan Liu
378
21
0
17 Mar 2022
Simultaneous Learning of the Inputs and Parameters in Neural
  Collaborative Filtering
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering
Ramin Raziperchikolaei
Young-joo Chung
173
2
0
14 Mar 2022
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human
  Activity Recognition
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity RecognitionIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022
Yan Yan
T. Liao
Jinjin Zhao
Jiahong Wang
Liang Ma
Wei Lv
Jing Xiong
Lei Wang
169
29
0
14 Mar 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference
  on FPGA
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGAIEEE International Parallel and Distributed Processing Symposium (IPDPS), 2022
Hongkuan Zhou
Bingyi Zhang
Rajgopal Kannan
Viktor Prasanna
Carl E. Busart
GNN
168
26
0
10 Mar 2022
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex
  Networks
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks
Joshua Melton
Michael Ridenhour
S. Krishnan
GNN
116
1
0
03 Mar 2022
GAP: Differentially Private Graph Neural Networks with Aggregation
  Perturbation
GAP: Differentially Private Graph Neural Networks with Aggregation PerturbationUSENIX Security Symposium (USENIX Security), 2022
Sina Sajadmanesh
Ali Shahin Shamsabadi
A. Bellet
D. Gática-Pérez
282
96
0
02 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable
  Paradigm
PaSca: a Graph Neural Architecture Search System under the Scalable ParadigmThe Web Conference (WWW), 2022
Wentao Zhang
Yu Shen
Zheyu Lin
Yan Zhao
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNN
283
67
0
01 Mar 2022
An Effective Graph Learning based Approach for Temporal Link Prediction:
  The First Place of WSDM Cup 2022
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022
Qian Zhao
Shuo Yang
Binbin Hu
Qing Cui
Yakun Wang
Yusong Chen
Jun Zhou
Chuan Shi
84
1
0
01 Mar 2022
Algorithm and System Co-design for Efficient Subgraph-based Graph
  Representation Learning
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation LearningProceedings of the VLDB Endowment (PVLDB), 2022
Haoteng Yin
Muhan Zhang
Yanbang Wang
Jianguo Wang
Pan Li
180
45
0
28 Feb 2022
Path-Aware Graph Attention for HD Maps in Motion Prediction
Path-Aware Graph Attention for HD Maps in Motion PredictionIEEE International Conference on Robotics and Automation (ICRA), 2022
Fang Da
Yu Zhang
GNN
205
37
0
23 Feb 2022
Message passing all the way up
Message passing all the way up
Petar Velickovic
338
72
0
22 Feb 2022
Model-Agnostic Augmentation for Accurate Graph Classification
Model-Agnostic Augmentation for Accurate Graph ClassificationThe Web Conference (WWW), 2022
Jaemin Yoo
Sooyeon Shim
U. Kang
GNN
211
37
0
21 Feb 2022
Black-box Node Injection Attack for Graph Neural Networks
Black-box Node Injection Attack for Graph Neural Networks
Mingxuan Ju
Yujie Fan
Yanfang Ye
Bo Pan
AAML
228
2
0
18 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Graph Data Augmentation for Graph Machine Learning: A SurveyIEEE Data Engineering Bulletin (DEB), 2022
Tong Zhao
Wei Jin
Yozen Liu
Yingheng Wang
Gang Liu
Stephan Günnemann
Neil Shah
Meng Jiang
OOD
344
96
0
17 Feb 2022
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
Contrastive Meta Learning with Behavior Multiplicity for RecommendationWeb Search and Data Mining (WSDM), 2022
Wei Wei
Chao Huang
Lianghao Xia
Yong-mei Xu
Jiashu Zhao
D. Yin
181
214
0
17 Feb 2022
Task-Agnostic Graph Explanations
Task-Agnostic Graph ExplanationsNeural Information Processing Systems (NeurIPS), 2022
Yaochen Xie
S. Katariya
Xianfeng Tang
E-Wen Huang
Nikhil S. Rao
Karthik Subbian
Shuiwang Ji
232
32
0
16 Feb 2022
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference
  as a Cloud Service
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud ServiceIEEE Transactions on Services Computing (IEEE TSC), 2022
Songlei Wang
Yifeng Zheng
Xiaohua Jia
GNN
261
36
0
16 Feb 2022
Heterogeneous Graph Learning for Explainable Recommendation over
  Academic Networks
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks
Xiangtai Chen
Tao Tang
Jing Ren
Ivan Lee
Honglong Chen
Xiwei Xu
129
10
0
16 Feb 2022
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for
  Scale-Free Graphs
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free GraphsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Xiwei Xu
Lei Wang
Tao Tang
Xin Chen
Xiangjie Kong
G. Oatley
Irwin King
GNN
170
43
0
16 Feb 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges
Federated Graph Neural Networks: Overview, Techniques and ChallengesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
R. Liu
Pengwei Xing
Zichao Deng
Anran Li
Cuntai Guan
Han Yu
FedML
359
136
0
15 Feb 2022
Graph Neural Networks for Graphs with Heterophily: A Survey
Graph Neural Networks for Graphs with Heterophily: A Survey
Xin-Yang Zheng
Yi Wang
Yixin Liu
Ming Li
Miao Zhang
Di Jin
Philip S. Yu
Shirui Pan
333
288
0
14 Feb 2022
Improved Aggregating and Accelerating Training Methods for Spatial Graph
  Neural Networks on Fraud Detection
Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection
Yufan Zeng
Jiashan Tang
107
3
0
14 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction
Geometric Graph Representation Learning via Maximizing Rate ReductionThe Web Conference (WWW), 2022
Xiaotian Han
Zhimeng Jiang
Ninghao Liu
Qingquan Song
Jundong Li
Helen Zhou
124
23
0
13 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched
  Contrastive Learning
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive LearningThe Web Conference (WWW), 2022
Zihan Lin
Changxin Tian
Yupeng Hou
Wayne Xin Zhao
389
557
0
13 Feb 2022
Improving Fraud Detection via Hierarchical Attention-based Graph Neural
  Network
Improving Fraud Detection via Hierarchical Attention-based Graph Neural NetworkJournal of Information Security and Applications (JISA), 2022
Yajing Liu
Zhengya Sun
Wensheng Zhang
197
37
0
12 Feb 2022
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic
  Representations
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic RepresentationsThe Web Conference (WWW), 2022
Minhao Jiang
Xiangchen Song
Jieyu Zhang
Jiawei Han
114
41
0
10 Feb 2022
FMP: Toward Fair Graph Message Passing against Topology Bias
FMP: Toward Fair Graph Message Passing against Topology Bias
Zhimeng Jiang
Xiaotian Han
Chao Fan
Zirui Liu
Na Zou
Ali Mostafavi
Helen Zhou
163
51
0
08 Feb 2022
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the
  Structure Space
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure SpaceInternational Conference on Learning Representations (ICLR), 2022
Yaohua Wang
Yaobin Zhang
Fangyi Zhang
Ming-Ching Lin
Yuqi Zhang
Senzhang Wang
Xiuyu Sun
CVBM
252
36
0
08 Feb 2022
NxtPost: User to Post Recommendations in Facebook Groups
NxtPost: User to Post Recommendations in Facebook GroupsKnowledge Discovery and Data Mining (KDD), 2022
Kaushik Rangadurai
Yiqun Liu
Siddarth Malreddy
Xiaoyi Liu
P. Maheshwari
Vishwanath Sangale
Fedor Borisyuk
124
10
0
08 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors
  to Sequences
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to SequencesSDM (SDM), 2022
Meng Liu
Shuiwang Ji
GNN
109
4
0
07 Feb 2022
Causal Disentanglement for Semantics-Aware Intent Learning in
  Recommendation
Causal Disentanglement for Semantics-Aware Intent Learning in RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Xiang-jian Wang
Qian Li
Dianer Yu
Peng Cui
Zhichao Wang
Guandong Xu
CML
249
40
0
05 Feb 2022
Lightweight Compositional Embeddings for Incremental Streaming
  Recommendation
Lightweight Compositional Embeddings for Incremental Streaming Recommendation
Mengyue Hang
Tobias Schnabel
Longqi Yang
Jennifer Neville
126
6
0
04 Feb 2022
Graph-Coupled Oscillator Networks
Graph-Coupled Oscillator NetworksInternational Conference on Machine Learning (ICML), 2022
T. Konstantin Rusch
B. Chamberlain
J. Rowbottom
S. Mishra
M. Bronstein
330
143
0
04 Feb 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation,
  Revisited
Convolutional Neural Networks on Graphs with Chebyshev Approximation, RevisitedNeural Information Processing Systems (NeurIPS), 2022
Mingguo He
Zhewei Wei
Ji-Rong Wen
GNN
375
178
0
04 Feb 2022
Graph Coloring with Physics-Inspired Graph Neural Networks
Graph Coloring with Physics-Inspired Graph Neural NetworksPhysical Review Research (Phys. Rev. Res.), 2022
M. Schuetz
J. K. Brubaker
Z. Zhu
H. Katzgraber
AI4CE
141
50
0
03 Feb 2022
Generalization Analysis of Message Passing Neural Networks on Large
  Random Graphs
Generalization Analysis of Message Passing Neural Networks on Large Random GraphsNeural Information Processing Systems (NeurIPS), 2022
Sohir Maskey
Ron Levie
Yunseok Lee
Gitta Kutyniok
GNN
666
62
0
01 Feb 2022
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings
Krzysztof Sadowski
Michal Szarmach
Eddie Mattia
201
7
0
01 Feb 2022
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