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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
GraphTheta: A Distributed Graph Neural Network Learning System With
  Flexible Training Strategy
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Yongchao Liu
Houyi Li
Guowei Zhang
Xintan Zeng
Yongyong Li
...
Peng Zhang
Zhao Li
Kefeng Deng
Changhua He
Wenguang Chen
GNN
296
12
0
21 Apr 2021
Superpixels and Graph Convolutional Neural Networks for Efficient
  Detection of Nutrient Deficiency Stress from Aerial Imagery
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery
Saba Dadsetan
David Pichler
David Wilson
N. Hovakimyan
Jennifer Hobbs
263
8
0
20 Apr 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with
  Feature-Message Passing
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing
Wentao Zhang
Yu Shen
Zheyu Lin
Yan Zhao
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
165
9
0
20 Apr 2021
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models
  with Huge Embedding Table
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding TableAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Huifeng Guo
Wei Guo
Yong Gao
Ruiming Tang
Xiuqiang He
Wenzhi Liu
196
24
0
17 Apr 2021
Dual Metric Learning for Effective and Efficient Cross-Domain
  Recommendations
Dual Metric Learning for Effective and Efficient Cross-Domain RecommendationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Pan Li
Alexander Tuzhilin
190
73
0
17 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC
Bayesian graph convolutional neural networks via tempered MCMCIEEE Access (IEEE Access), 2021
Rohitash Chandra
A. Bhagat
Manavendra Maharana
P. Krivitsky
GNNBDL
304
20
0
17 Apr 2021
Deep Learning-based Online Alternative Product Recommendations at Scale
Deep Learning-based Online Alternative Product Recommendations at Scale
Mingming Guo
Nian Yan
Xiquan Cui
San He Wu
Unaiza Ahsan
Rebecca West
Khalifeh Al Jadda
82
8
0
15 Apr 2021
Lorentzian Graph Convolutional Networks
Lorentzian Graph Convolutional NetworksThe Web Conference (WWW), 2021
Yiding Zhang
Xiao Wang
C. Shi
Nian Liu
Guojie Song
237
113
0
15 Apr 2021
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural
  Networks
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural NetworksInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2021
Vasimuddin
Sanchit Misra
Guixiang Ma
Ramanarayan Mohanty
E. Georganas
A. Heinecke
Dhiraj D. Kalamkar
Nesreen Ahmed
Sasikanth Avancha
GNN
383
151
0
14 Apr 2021
Search to aggregate neighborhood for graph neural network
Search to aggregate neighborhood for graph neural networkIEEE International Conference on Data Engineering (ICDE), 2021
Huan Zhao
Quanming Yao
Wei-Wei Tu
GNN
253
99
0
14 Apr 2021
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant
  Weight Matrices
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight MatricesDesign Automation Conference (DAC), 2021
Zhe Zhou
Bizhao Shi
Zhe Zhang
Yijin Guan
Guangyu Sun
Guojie Luo
GNN
272
38
0
13 Apr 2021
Who Should Go First? A Self-Supervised Concept Sorting Model for
  Improving Taxonomy Expansion
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion
Xiangchen Song
Jiaming Shen
Jieyu Zhang
Jiawei Han
141
11
0
08 Apr 2021
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph
  Representation Learning
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Tong Chen
Hongzhi Yin
Jie Ren
Zi Huang
Xiangliang Zhang
Hao Wang
107
5
0
04 Apr 2021
Medical Entity Disambiguation Using Graph Neural Networks
Medical Entity Disambiguation Using Graph Neural Networks
Alina Vretinaris
Chuan Lei
Vasilis Efthymiou
X. Qin
Fatma Özcan
188
44
0
03 Apr 2021
Graph Intention Network for Click-through Rate Prediction in Sponsored
  Search
Graph Intention Network for Click-through Rate Prediction in Sponsored SearchAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019
Feng Li
Zhenrui Chen
Pengjie Wang
Yi Ren
Di Zhang
Xiaoyu Zhu
GNN
127
68
0
30 Mar 2021
Graph Unlearning
Graph UnlearningConference on Computer and Communications Security (CCS), 2021
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang
MU
194
189
0
27 Mar 2021
Bag of Tricks for Node Classification with Graph Neural Networks
Bag of Tricks for Node Classification with Graph Neural Networks
Yangkun Wang
Jiarui Jin
Weinan Zhang
Yong Yu
Zheng Zhang
David Wipf
149
60
0
24 Mar 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Hongyu Ren
Maho Nakata
Yuxiao Dong
J. Leskovec
AI4CE
290
461
0
17 Mar 2021
Dual Side Deep Context-aware Modulation for Social Recommendation
Dual Side Deep Context-aware Modulation for Social RecommendationThe Web Conference (WWW), 2021
Bairan Fu
Wenming Zhang
Guangneng Hu
Xinyu Dai
Shujian Huang
Jiajun Chen
146
54
0
16 Mar 2021
Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph
  Reasoning
Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph Reasoning
Bang Lin
Xiuchong Wang
Yu Dong
Chengfu Huo
Weijun Ren
Chuanyu Xu
77
3
0
11 Mar 2021
Sampling methods for efficient training of graph convolutional networks:
  A survey
Sampling methods for efficient training of graph convolutional networks: A surveyIEEE/CAA Journal of Automatica Sinica (IEEE/CAA J. Autom. Sinica), 2021
Xin Liu
Yurui Lai
Lei Deng
Guoqi Li
Xiaochun Ye
Xiaochun Ye
GNN
188
125
0
10 Mar 2021
Graph Convolutional Embeddings for Recommender Systems
Graph Convolutional Embeddings for Recommender SystemsIEEE Access (IEEE Access), 2021
P. G. Duran
Alexandros Karatzoglou
Jordi Vitrià
Xin Xin
Ioannis Arapakis
GNNAI4TS
89
13
0
05 Mar 2021
Large Graph Convolutional Network Training with GPU-Oriented Data
  Communication Architecture
Large Graph Convolutional Network Training with GPU-Oriented Data Communication ArchitectureProceedings of the VLDB Endowment (PVLDB), 2021
S. Min
Kun Wu
Sitao Huang
Mert Hidayetouglu
Jinjun Xiong
Eiman Ebrahimi
Deming Chen
Wen-mei W. Hwu
GNN
198
81
0
04 Mar 2021
On the Importance of Sampling in Training GCNs: Tighter Analysis and
  Variance Reduction
On the Importance of Sampling in Training GCNs: Tighter Analysis and Variance Reduction
Weilin Cong
M. Ramezani
M. Mahdavi
222
6
0
03 Mar 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret
A Biased Graph Neural Network Sampler with Near-Optimal RegretNeural Information Processing Systems (NeurIPS), 2021
Qingru Zhang
David Wipf
Quan Gan
Le Song
335
26
0
01 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning
CogDL: A Comprehensive Library for Graph Deep LearningThe Web Conference (WWW), 2021
Yukuo Cen
Zhenyu Hou
Yan Wang
Qibin Chen
Yi Luo
...
Guohao Dai
Yu Wang
Chang Zhou
Hongxia Yang
Jie Tang
GNNAI4CE
310
23
0
01 Mar 2021
Automated Machine Learning on Graphs: A Survey
Automated Machine Learning on Graphs: A SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Ziwei Zhang
Xin Eric Wang
Wenwu Zhu
349
93
0
01 Mar 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised
  Learning
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
373
397
0
27 Feb 2021
Towards a Unified Framework for Fair and Stable Graph Representation
  Learning
Towards a Unified Framework for Fair and Stable Graph Representation LearningConference on Uncertainty in Artificial Intelligence (UAI), 2021
Chirag Agarwal
Himabindu Lakkaraju
Marinka Zitnik
344
190
0
25 Feb 2021
Genetic Meta-Structure Search for Recommendation on Heterogeneous
  Information Network
Genetic Meta-Structure Search for Recommendation on Heterogeneous Information NetworkInternational Conference on Information and Knowledge Management (CIKM), 2020
Zhenyu Han
Fengli Xu
Jinghan Shi
Yunfei Shang
Haorui Ma
Pan Hui
Yong Li
118
34
0
21 Feb 2021
Generalization bounds for graph convolutional neural networks via
  Rademacher complexity
Generalization bounds for graph convolutional neural networks via Rademacher complexity
Shaogao Lv
GNN
183
20
0
20 Feb 2021
Dynamic Memory based Attention Network for Sequential Recommendation
Dynamic Memory based Attention Network for Sequential RecommendationAAAI Conference on Artificial Intelligence (AAAI), 2021
Qiaoyu Tan
Jianwei Zhang
Ninghao Liu
Xiao Shi Huang
Hongxia Yang
Jingren Zhou
Helen Zhou
HAI
233
71
0
18 Feb 2021
Training Large-Scale News Recommenders with Pretrained Language Models
  in the Loop
Training Large-Scale News Recommenders with Pretrained Language Models in the LoopKnowledge Discovery and Data Mining (KDD), 2021
Shitao Xiao
Zheng Liu
Yingxia Shao
Tao Di
Xing Xie
VLMAIFin
291
52
0
18 Feb 2021
Sparse-Interest Network for Sequential Recommendation
Sparse-Interest Network for Sequential RecommendationWeb Search and Data Mining (WSDM), 2021
Qiaoyu Tan
Jianwei Zhang
Jiangchao Yao
Ninghao Liu
Jingren Zhou
Hongxia Yang
Helen Zhou
205
161
0
18 Feb 2021
GraphGallery: A Platform for Fast Benchmarking and Easy Development of
  Graph Neural Networks Based Intelligent Software
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software
Jintang Li
Kun Xu
Liang Chen
Zibin Zheng
Xiao Liu
GNN
78
13
0
16 Feb 2021
User Embedding based Neighborhood Aggregation Method for Inductive
  Recommendation
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation
Rahul Ragesh
Sundararajan Sellamanickam
Vijay Lingam
Arun Shankar Iyer
Ramakrishna Bairi
GNN
133
6
0
15 Feb 2021
Relation-aware Graph Attention Model With Adaptive Self-adversarial
  Training
Relation-aware Graph Attention Model With Adaptive Self-adversarial TrainingAAAI Conference on Artificial Intelligence (AAAI), 2021
Xiao Qin
Nasrullah Sheikh
B. Reinwald
Lingfei Wu
209
36
0
14 Feb 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear
  Separability and Out-of-Distribution Generalization
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution GeneralizationInternational Conference on Machine Learning (ICML), 2021
Aseem Baranwal
Kimon Fountoulakis
Aukosh Jagannath
OODD
508
88
0
13 Feb 2021
Multiplex Bipartite Network Embedding using Dual Hypergraph
  Convolutional Networks
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional NetworksThe Web Conference (WWW), 2021
Hansheng Xue
Luwei Yang
Vaibhav Rajan
Wen Jiang
Yi Wei
Yu Lin
GNN
118
51
0
12 Feb 2021
A Comparison of Deep-Learning Methods for Analysing and Predicting
  Business Processes
A Comparison of Deep-Learning Methods for Analysing and Predicting Business ProcessesIEEE International Joint Conference on Neural Network (IJCNN), 2021
Ishwar Venugopal
Jessica Töllich
Michael Fairbank
A. Scherp
138
35
0
11 Feb 2021
A Metamodel and Framework for Artificial General Intelligence From
  Theory to Practice
A Metamodel and Framework for Artificial General Intelligence From Theory to PracticeJournal of Artificial Intelligence and Consciousness (JAIC), 2021
Hugo Latapie
Özkan Kiliç
Gaowen Liu
Yan Yan
Ramana Rao Kompella
Pei Wang
K. Thórisson
Adam Lawrence
Yuhong Sun
Jayanth Srinivasa
AI4CE
150
9
0
11 Feb 2021
Dual-embedding based Neural Collaborative Filtering for Recommender
  Systems
Dual-embedding based Neural Collaborative Filtering for Recommender Systems
Gongshan He
Dongxing Zhao
Li Ding
FedML
154
4
0
04 Feb 2021
Reinforced Contact Tracing and Epidemic Intervention
Reinforced Contact Tracing and Epidemic Intervention
Tao Feng
Sirui Song
Tong Xia
Yong Li
67
3
0
04 Feb 2021
Causal Collaborative Filtering
Causal Collaborative FilteringInternational Conference on the Theory of Information Retrieval (ICTIR), 2021
Shuyuan Xu
Yingqiang Ge
Yunqi Li
Zuohui Fu
Xu Chen
Zelong Li
CML
354
49
0
03 Feb 2021
RetaGNN: Relational Temporal Attentive Graph Neural Networks for
  Holistic Sequential Recommendation
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential RecommendationThe Web Conference (WWW), 2021
Cheng-Mao Hsu
Cheng-Te Li
167
83
0
29 Jan 2021
Identity-aware Graph Neural Networks
Identity-aware Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021
Jiaxuan You
Jonathan M. Gomes-Selman
Rex Ying
J. Leskovec
269
288
0
25 Jan 2021
Advances and Challenges in Conversational Recommender Systems: A Survey
Advances and Challenges in Conversational Recommender Systems: A SurveyAI Open (AO), 2021
Chongming Gao
Wenqiang Lei
Xiangnan He
Maarten de Rijke
Tat-Seng Chua
556
326
0
23 Jan 2021
Marius: Learning Massive Graph Embeddings on a Single Machine
Marius: Learning Massive Graph Embeddings on a Single MachineUSENIX Symposium on Operating Systems Design and Implementation (OSDI), 2021
J. Mohoney
R. Waleffe
Yiheng Xu
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
265
69
0
20 Jan 2021
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph
  Neural Network Training with Irregular Accesses
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses
S. Min
Kun Wu
Sitao Huang
Mert Hidayetouglu
Jinjun Xiong
Eiman Ebrahimi
Deming Chen
Wen-mei W. Hwu
GNNAI4CE
110
24
0
20 Jan 2021
Communication-Efficient Sampling for Distributed Training of Graph
  Convolutional Networks
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks
Peng Jiang
Masuma Akter Rumi
GNN
70
8
0
19 Jan 2021
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