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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
A Graph-Enhanced Click Model for Web Search
A Graph-Enhanced Click Model for Web SearchAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Jianghao Lin
Weiwen Liu
Xinyi Dai
Weinan Zhang
Shuai Li
Ruiming Tang
Xiuqiang He
Jianye Hao
Yong Yu
179
46
0
17 Jun 2022
Time Interval-enhanced Graph Neural Network for Shared-account
  Cross-domain Sequential Recommendation
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential RecommendationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Lei Guo
Jinyu Zhang
Lilia Tang
Tong Chen
Lei Zhu
Hongzhi Yin
125
55
0
16 Jun 2022
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering
NCAGC: A Neighborhood Contrast Framework for Attributed Graph ClusteringNeurocomputing (Neurocomputing), 2022
Tong Wang
Guanyu Yang
Qijia He
Zhenquan Zhang
Junhua Wu
205
10
0
16 Jun 2022
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset
KE-QI: A Knowledge Enhanced Article Quality Identification Dataset
Chunhui Ai
Derui Wang
Xuemi Yan
Yang Xu
Wenrui Xie
Ziqiang Cao
270
0
0
15 Jun 2022
Learning Enhanced Representations for Tabular Data via Neighborhood
  Propagation
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation
Kounianhua Du
Weinan Zhang
Ruiwen Zhou
Yangkun Wang
Xilong Zhao
Jiarui Jin
Quan Gan
Zheng Zhang
David Wipf
AI4TS
140
9
0
14 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in
  Large Graphs
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large GraphsInternational Conference on Learning Representations (ICLR), 2022
Jinsong Chen
Ran Bi
Gaichao Li
Kun He
344
177
0
10 Jun 2022
Comprehensive Fair Meta-learned Recommender System
Comprehensive Fair Meta-learned Recommender SystemKnowledge Discovery and Data Mining (KDD), 2022
Tianxin Wei
Jingrui He
FedMLFaMLOffRL
159
52
0
09 Jun 2022
TwiBot-22: Towards Graph-Based Twitter Bot Detection
TwiBot-22: Towards Graph-Based Twitter Bot DetectionNeural Information Processing Systems (NeurIPS), 2022
Shangbin Feng
Zhaoxuan Tan
Herun Wan
Ningnan Wang
Zilong Chen
...
Yanbo Wang
Lijing Zheng
Zihan Ma
Jundong Li
Minnan Luo
433
133
0
09 Jun 2022
Accurate Node Feature Estimation with Structured Variational Graph
  Autoencoder
Accurate Node Feature Estimation with Structured Variational Graph AutoencoderKnowledge Discovery and Data Mining (KDD), 2022
Jaemin Yoo
Hyunsik Jeon
Jinhong Jung
U. Kang
BDL
142
34
0
09 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling
  Perspective
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective
Zepeng Zhang
Ziping Zhao
AI4CE
182
4
0
09 Jun 2022
Network Report: A Structured Description for Network Datasets
Network Report: A Structured Description for Network DatasetsInternational Conference on Information and Knowledge Management (CIKM), 2022
Xinyi Zheng
Ryan A. Rossi
Nesreen Ahmed
Dominik Moritz
130
4
0
08 Jun 2022
EiX-GNN : Concept-level eigencentrality explainer for graph neural
  networks
EiX-GNN : Concept-level eigencentrality explainer for graph neural networks
Adrien Raison
Pascal Bourdon
David Helbert
206
2
0
07 Jun 2022
Learning Backward Compatible Embeddings
Learning Backward Compatible EmbeddingsKnowledge Discovery and Data Mining (KDD), 2022
Weihua Hu
Rajas Bansal
Kaidi Cao
Nikhil S. Rao
Karthik Subbian
J. Leskovec
133
21
0
07 Jun 2022
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Multi-Behavior Sequential Recommendation with Temporal Graph TransformerIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Lianghao Xia
Chao Huang
Yong-mei Xu
Jiangsen Pei
HAI
246
82
0
06 Jun 2022
Graph Neural Networks with Precomputed Node Features
Graph Neural Networks with Precomputed Node Features
Béni Egressy
Roger Wattenhofer
176
4
0
01 Jun 2022
Calibrate and Debias Layer-wise Sampling for Graph Convolutional
  Networks
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks
Yifan Chen
Tianning Xu
Dilek Z. Hakkani-Tür
Di Jin
Yun Yang
Ruoqing Zhu
387
7
0
01 Jun 2022
An Empirical Study of Retrieval-enhanced Graph Neural Networks
An Empirical Study of Retrieval-enhanced Graph Neural NetworksEuropean Conference on Artificial Intelligence (ECAI), 2022
Dingmin Wang
Shengchao Liu
Hanchen Wang
Bernardo Cuenca Grau
Linfeng Song
Jian Tang
Song Le
Qi Liu
235
1
0
01 Jun 2022
Distributed Graph Neural Network Training with Periodic Stale
  Representation Synchronization
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization
Zheng Chai
Guangji Bai
Bo Pan
Yue Cheng
GNN
236
3
0
31 May 2022
COIN: Co-Cluster Infomax for Bipartite Graphs
COIN: Co-Cluster Infomax for Bipartite Graphs
Baoyu Jing
Yuchen Yan
Yada Zhu
Hanghang Tong
342
24
0
31 May 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems
Uncertainty Quantification for Fairness in Two-Stage Recommender SystemsWeb Search and Data Mining (WSDM), 2022
Lequn Wang
Thorsten Joachims
316
26
0
30 May 2022
Personalized PageRank Graph Attention Networks
Personalized PageRank Graph Attention NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Julie Choi
GNN
83
8
0
27 May 2022
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge
  Splitting
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge SplittingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jingwei Guo
Kaizhu Huang
Rui Zhang
Xinping Yi
AAML
312
18
0
27 May 2022
RecipeRec: A Heterogeneous Graph Learning Model for Recipe
  Recommendation
RecipeRec: A Heterogeneous Graph Learning Model for Recipe RecommendationInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Yijun Tian
Chuxu Zhang
Zhichun Guo
Chao Huang
Ronald A Metoyer
Nitesh Chawla
123
42
0
24 May 2022
ColdGuess: A General and Effective Relational Graph Convolutional
  Network to Tackle Cold Start Cases
ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases
Bo He
Xiang Song
Vincent Gao
Christos Faloutsos
133
2
0
24 May 2022
ItemSage: Learning Product Embeddings for Shopping Recommendations at
  Pinterest
ItemSage: Learning Product Embeddings for Shopping Recommendations at PinterestKnowledge Discovery and Data Mining (KDD), 2022
Paul Baltescu
Haoyu Chen
Nikil Pancha
Andrew Zhai
J. Leskovec
Charles R. Rosenberg
DML
214
45
0
24 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
High-Order Pooling for Graph Neural Networks with Tensor DecompositionNeural Information Processing Systems (NeurIPS), 2022
Chenqing Hua
Guillaume Rabusseau
Jian Tang
194
37
0
24 May 2022
Compressing Deep Graph Neural Networks via Adversarial Knowledge
  Distillation
Compressing Deep Graph Neural Networks via Adversarial Knowledge DistillationKnowledge Discovery and Data Mining (KDD), 2022
Huarui He
Jie Wang
Zhanqiu Zhang
Feng Wu
199
49
0
24 May 2022
Learning to Advise and Learning from Advice in Cooperative Multi-Agent
  Reinforcement Learning
Learning to Advise and Learning from Advice in Cooperative Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2022
Yue Jin
Shuangqing Wei
Jian Yuan
Xudong Zhang
124
0
0
23 May 2022
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph
  Convolutions for Recommendation
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation
Daisuke Kikuta
Toyotaro Suzumura
Md. Mostafizur Rahman
Yuya Hirate
Satyen Abrol
Manoj Kondapaka
Takuma Ebisu
Pablo S. Loyola
121
2
0
23 May 2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite
  Graphs at Pinterest
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at PinterestProceedings of the VLDB Endowment (PVLDB), 2022
Saket Gurukar
Nikil Pancha
Andrew Zhai
Eric Kim
Samson Hu
Srinivas Parthasarathy
Charles R. Rosenberg
J. Leskovec
306
20
0
21 May 2022
Are Message Passing Neural Networks Really Helpful for Knowledge Graph
  Completion?
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Juanhui Li
Harry Shomer
Jiayu Ding
Yiqi Wang
Yao Ma
Neil Shah
Shucheng Zhou
D. Yin
263
15
0
21 May 2022
FairNorm: Fair and Fast Graph Neural Network Training
FairNorm: Fair and Fast Graph Neural Network Training
Öykü Deniz Köse
Yanning Shen
AI4CE
144
5
0
20 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency AnalysisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Maciej Besta
Torsten Hoefler
GNN
498
73
0
19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and TrendsProceedings of the IEEE (Proc. IEEE), 2022
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
384
150
0
16 May 2022
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest
  Candidate Retrieval
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate RetrievalPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022
Ahmed El-Kishky
Thomas Markovich
Kenny Leung
Frank Portman
A. Haghighi
Ying Xiao
137
12
0
12 May 2022
Communicative Subgraph Representation Learning for Multi-Relational
  Inductive Drug-Gene Interaction Prediction
Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction PredictionInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Jiahua Rao
Shuangjia Zheng
Sijie Mai
Yuedong Yang
215
19
0
12 May 2022
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage
  Processing Architectures
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing ArchitecturesInternational Symposium on Computer Architecture (ISCA), 2022
Yunjae Lee
Jin-Won Chung
Minsoo Rhu
GNN
161
66
0
10 May 2022
PinnerFormer: Sequence Modeling for User Representation at Pinterest
PinnerFormer: Sequence Modeling for User Representation at PinterestKnowledge Discovery and Data Mining (KDD), 2022
Nikil Pancha
Andrew Zhai
J. Leskovec
Charles R. Rosenberg
AI4TS
282
56
0
09 May 2022
LPGNet: Link Private Graph Networks for Node Classification
LPGNet: Link Private Graph Networks for Node ClassificationConference on Computer and Communications Security (CCS), 2022
Aashish Kolluri
Teodora Baluta
Bryan Hooi
Prateek Saxena
195
31
0
06 May 2022
Optimal Propagation for Graph Neural Networks
Optimal Propagation for Graph Neural Networks
Beidi Zhao
Boxin Du
Zhe Xu
Liangyue Li
Hanghang Tong
GNN
227
0
0
06 May 2022
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online
  Video Services
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video ServicesThe Web Conference (WWW), 2022
Fan Zhang
Qiuying Peng
Yu-Liang Wu
Zheng Pan
Rong Zeng
David Lin
Ye Qi
124
10
0
05 May 2022
Graph Anisotropic Diffusion
Graph Anisotropic Diffusion
Ahmed A. A. Elhag
Gabriele Corso
Hannes Stärk
Michael M. Bronstein
DiffMGNN
175
0
0
30 Apr 2022
GTNet: A Tree-Based Deep Graph Learning Architecture
GTNet: A Tree-Based Deep Graph Learning Architecture
Nan Wu
Chaofan Wang
125
5
0
27 Apr 2022
Generating Topological Structure of Floorplans from Room Attributes
Generating Topological Structure of Floorplans from Room AttributesInternational Conference on Multimedia Retrieval (ICMR), 2022
Yu Yin
Will Hutchcroft
Naji Khosravan
Ivaylo Boyadzhiev
Y. Fu
S. B. Kang
124
3
0
26 Apr 2022
Hypergraph Contrastive Collaborative Filtering
Hypergraph Contrastive Collaborative FilteringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Lianghao Xia
Chao Huang
Yong-mei Xu
Jiashu Zhao
D. Yin
J. Huang
280
410
0
26 Apr 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks
DropMessage: Unifying Random Dropping for Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Taoran Fang
Zhiqing Xiao
Chunping Wang
Jiarong Xu
Xuan Yang
Yang Yang
339
68
0
21 Apr 2022
Effects of Graph Convolutions in Multi-layer Networks
Effects of Graph Convolutions in Multi-layer NetworksInternational Conference on Learning Representations (ICLR), 2022
Aseem Baranwal
Kimon Fountoulakis
Aukosh Jagannath
283
31
0
20 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy,
  Robustness, Fairness, and Explainability
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and ExplainabilityMachine Intelligence Research (MIR), 2022
Enyan Dai
Tianxiang Zhao
Huaisheng Zhu
Jun Xu
Zhimeng Guo
Hui Liu
Shucheng Zhou
Suhang Wang
362
198
0
18 Apr 2022
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric
  Regularization
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric RegularizationThe Web Conference (WWW), 2022
Menglin Yang
Min Zhou
Jiahong Liu
Defu Lian
Irwin King
224
100
0
18 Apr 2022
Continuous-Time User Preference Modelling for Temporal Sets Prediction
Continuous-Time User Preference Modelling for Temporal Sets PredictionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Le Yu
Zihang Liu
Leilei Sun
Bowen Du
T. Zhu
Weifeng Lv
258
9
0
12 Apr 2022
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