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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 Sequential Graph Learning for Click-Through Rate Prediction
Dynamic Sequential Graph Learning for Click-Through Rate Prediction
Yunfei Chu
Xiaofu Chang
Kunyang Jia
Jingzhen Zhou
Hongxia Yang
155
7
0
26 Sep 2021
Learning Dual Dynamic Representations on Time-Sliced User-Item
  Interaction Graphs for Sequential Recommendation
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2021
Zeyuan Chen
Wei Zhang
Junchi Yan
Gang Wang
Jianyong Wang
AI4TS
210
27
0
24 Sep 2021
Context-aware Tree-based Deep Model for Recommender Systems
Context-aware Tree-based Deep Model for Recommender Systems
Daqing Chang
Jintao Liu
Xinhang Li
Han Li
Ziru Xu
Xiaoqiang Zhu
132
3
0
22 Sep 2021
Graph Neural Netwrok with Interaction Pattern for Group Recommendation
Graph Neural Netwrok with Interaction Pattern for Group Recommendation
Bo Wang
Yuheng Lu
73
1
0
21 Sep 2021
mGNN: Generalizing the Graph Neural Networks to the Multilayer Case
mGNN: Generalizing the Graph Neural Networks to the Multilayer Case
Marco Grassia
Manlio De Domenico
G. Mangioni
AI4CE
255
18
0
21 Sep 2021
Search For Deep Graph Neural Networks
Search For Deep Graph Neural Networks
Guosheng Feng
Chunnan Wang
Hongzhi Wang
GNN
143
27
0
21 Sep 2021
Grouping Search Results with Product Graphs in E-commerce Platforms
Grouping Search Results with Product Graphs in E-commerce Platforms
Suhas Ranganath
Shibsankar Das
Sanjay Thilaivasan
Shipra Agarwal
Varun Shrivastava
65
0
0
20 Sep 2021
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and
  Efficiency
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency
Yongan Zhang
Haoran You
Yonggan Fu
Tong Geng
Ang Li
Yingyan Lin
GNN
173
32
0
18 Sep 2021
Efficient Scaling of Dynamic Graph Neural Networks
Efficient Scaling of Dynamic Graph Neural Networks
Venkatesan T. Chakaravarthy
Shivmaran S. Pandian
S. Raje
Yogish Sabharwal
Toyotaro Suzumura
Shashanka Ubaru
GNN
96
31
0
16 Sep 2021
Local Augmentation for Graph Neural Networks
Local Augmentation for Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2021
Songtao Liu
Rex Ying
Hanze Dong
Lanqing Li
Qifeng Bai
Yu Rong
P. Zhao
Junzhou Huang
Dinghao Wu
432
114
0
08 Sep 2021
Attentive Knowledge-aware Graph Convolutional Networks with
  Collaborative Guidance for Personalized Recommendation
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation
Yankai Chen
Yaming Yang
Yujing Wang
Jing Bai
Xiangchen Song
Irwin King
207
81
0
05 Sep 2021
An Empirical Study of Graph Contrastive Learning
An Empirical Study of Graph Contrastive Learning
Yanqiao Zhu
Yichen Xu
Qiang Liu
Shu Wu
293
205
0
02 Sep 2021
Multi-Sample based Contrastive Loss for Top-k Recommendation
Multi-Sample based Contrastive Loss for Top-k RecommendationIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021
Hao Tang
Guoshuai Zhao
Yuxia Wu
Xueming Qian
173
39
0
01 Sep 2021
Position-based Hash Embeddings For Scaling Graph Neural Networks
Position-based Hash Embeddings For Scaling Graph Neural Networks
Maria Kalantzi
George Karypis
GNN
269
4
0
31 Aug 2021
Heterogeneous Graph Neural Network with Multi-view Representation
  Learning
Heterogeneous Graph Neural Network with Multi-view Representation LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Zezhi Shao
Yongjun Xu
Wei Wei
Fei Wang
Zhao Zhang
Feida Zhu
181
32
0
31 Aug 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Adaptive Label Smoothing To Regularize Large-Scale Graph TrainingSDM (SDM), 2021
Kaixiong Zhou
Ninghao Liu
Fan Yang
Zirui Liu
Rui Chen
Li Li
Soo-Hyun Choi
Helen Zhou
AI4CE
152
23
0
30 Aug 2021
ETA Prediction with Graph Neural Networks in Google Maps
ETA Prediction with Graph Neural Networks in Google MapsInternational Conference on Information and Knowledge Management (CIKM), 2021
Austin Derrow-Pinion
Jennifer She
David Wong
O. Lange
Todd Hester
...
Ang Li
Zhongwen Xu
Alvaro Sanchez-Gonzalez
Yujia Li
Petar Velivcković
AI4TS
234
275
0
25 Aug 2021
Inductive Matrix Completion Using Graph Autoencoder
Inductive Matrix Completion Using Graph AutoencoderInternational Conference on Information and Knowledge Management (CIKM), 2021
Wei Shen
Wei Shen
Yunkun Tian
Liang Zeng
Xiaonan He
Wanchun Dou
Xiaolong Xu
162
30
0
25 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities
Graph Neural Networks: Methods, Applications, and Opportunities
Lilapati Waikhom
Ripon Patgiri
GNN
289
48
0
24 Aug 2021
Layer-wise Adaptive Graph Convolution Networks Using Generalized
  Pagerank
Layer-wise Adaptive Graph Convolution Networks Using Generalized PagerankAsian Conference on Machine Learning (ACML), 2021
Kishan Wimalawarne
Taiji Suzuki
GNN
260
2
0
24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive
  Benchmark Study
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark StudyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Tianlong Chen
Kaixiong Zhou
Keyu Duan
Wenqing Zheng
Peihao Wang
Helen Zhou
Zinan Lin
AAMLGNN
170
72
0
24 Aug 2021
Network Security Modeling using NetFlow Data: Detecting Botnet attacks
  in IP Traffic
Network Security Modeling using NetFlow Data: Detecting Botnet attacks in IP Traffic
Ganesh K. Subramaniam
Huan Chen
R. Varadhan
R. Archibald
117
3
0
19 Aug 2021
SiReN: Sign-Aware Recommendation Using Graph Neural Networks
SiReN: Sign-Aware Recommendation Using Graph Neural Networks
Changwon Seo
Kyeong-Joong Jeong
Sungsu Lim
Won-Yong Shin
192
29
0
19 Aug 2021
How Powerful is Graph Convolution for Recommendation?
How Powerful is Graph Convolution for Recommendation?
Yifei Shen
Yongji Wu
Yao Zhang
Caihua Shan
Jun Zhang
Khaled B. Letaief
Dongsheng Li
GNN
238
121
0
17 Aug 2021
Causal Incremental Graph Convolution for Recommender System Retraining
Causal Incremental Graph Convolution for Recommender System Retraining
Sihao Ding
Fuli Feng
Xiangnan He
Yong Liao
Jun Shi
Yongdong Zhang
CMLCLLBDLGNN
246
43
0
16 Aug 2021
LinkTeller: Recovering Private Edges from Graph Neural Networks via
  Influence Analysis
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence AnalysisIEEE Symposium on Security and Privacy (IEEE S&P), 2021
Fan Wu
Yunhui Long
Ce Zhang
Yue Liu
AAML
219
115
0
14 Aug 2021
AdaGNN: A multi-modal latent representation meta-learner for GNNs based
  on AdaBoosting
AdaGNN: A multi-modal latent representation meta-learner for GNNs based on AdaBoosting
Qinyi Zhu
Yiou Xiao
AI4CE
170
3
0
14 Aug 2021
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual
  Representations
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual RepresentationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Josh Beal
Hao Wu
Dong Huk Park
Andrew Zhai
Dmitry Kislyuk
ViT
199
31
0
12 Aug 2021
Graph Trend Filtering Networks for Recommendations
Graph Trend Filtering Networks for RecommendationsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Wenqi Fan
Xiaorui Liu
Wei Jin
Xiangyu Zhao
Shucheng Zhou
Qing Li
257
116
0
12 Aug 2021
Localized Graph Collaborative Filtering
Localized Graph Collaborative FilteringSDM (SDM), 2021
Yiqi Wang
Chaozhuo Li
Mingzheng Li
Wei Jin
Yuming Liu
Hao Sun
Xing Xie
Shucheng Zhou
144
12
0
10 Aug 2021
Development of Human Motion Prediction Strategy using Inception Residual
  Block
Development of Human Motion Prediction Strategy using Inception Residual BlockMultimedia tools and applications (MTA), 2021
Shekhar Gupta
G. Yadav
G. C. Nandi
3DH
123
4
0
09 Aug 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding
  for Heterogeneous Networks
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks
R. A. Khan
M. Kleinsteuber
157
3
0
09 Aug 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering
LT-OCF: Learnable-Time ODE-based Collaborative FilteringInternational Conference on Information and Knowledge Management (CIKM), 2021
Jeongwhan Choi
Jinsung Jeon
Noseong Park
223
40
0
08 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by
  Partial Differential Equations
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential EquationsNeural Information Processing Systems (NeurIPS), 2021
Moshe Eliasof
E. Haber
Eran Treister
GNNAI4CE
300
149
0
04 Aug 2021
Cold Start Similar Artists Ranking with Gravity-Inspired Graph
  Autoencoders
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
Guillaume Salha-Galvan
Romain Hennequin
Benjamin Chapus
Viet-Anh Tran
Michalis Vazirgiannis
196
21
0
02 Aug 2021
ECLARE: Extreme Classification with Label Graph Correlations
ECLARE: Extreme Classification with Label Graph CorrelationsThe Web Conference (WWW), 2021
Anshul Mittal
Noveen Sachdeva
Sheshansh Agrawal
Sumeet Agarwal
Purushottam Kar
Manik Varma
154
70
0
31 Jul 2021
Artist Similarity with Graph Neural Networks
Artist Similarity with Graph Neural NetworksInternational Society for Music Information Retrieval Conference (ISMIR), 2021
Filip Korzeniowski
Sergio Oramas
F. Gouyon
130
12
0
30 Jul 2021
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks
Ego-GNNs: Exploiting Ego Structures in Graph Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Dylan Sandfelder
Priyesh Vijayan
William L. Hamilton
196
28
0
22 Jul 2021
Ready for Emerging Threats to Recommender Systems? A Graph
  Convolution-based Generative Shilling Attack
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling AttackInformation Sciences (Inf. Sci.), 2021
Fan Wu
Min Gao
Junliang Yu
Zongwei Wang
Kecheng Liu
Wange Xu
AAML
188
46
0
22 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural NetworksACM Computing Surveys (CSUR), 2021
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Bo Pan
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
666
34
0
21 Jul 2021
Large-scale graph representation learning with very deep GNNs and
  self-supervision
Large-scale graph representation learning with very deep GNNs and self-supervision
Ravichandra Addanki
Peter W. Battaglia
David Budden
Andreea Deac
Jonathan Godwin
...
Wai Lok Sibon Li
Alvaro Sanchez-Gonzalez
Jacklynn Stott
S. Thakoor
Petar Velivcković
SSLAI4CE
160
27
0
20 Jul 2021
Adaptive Transfer Learning on Graph Neural Networks
Adaptive Transfer Learning on Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2021
Xueting Han
Zhenhuan Huang
Bang An
Jing Bai
234
62
0
19 Jul 2021
Position-enhanced and Time-aware Graph Convolutional Network for
  Sequential Recommendations
Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
Liwei Huang
Yutao Ma
Yanbo Liu
Bohong
Du
Shuliang Wang
Deyi Li
GNN
143
60
0
12 Jul 2021
MugRep: A Multi-Task Hierarchical Graph Representation Learning
  Framework for Real Estate Appraisal
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal
Weijia Zhang
Hao Liu
Lijun Zha
Hengshu Zhu
Ji Liu
Dejing Dou
Hui Xiong
204
33
0
12 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic
  Filtering
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic FilteringIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
166
46
0
10 Jul 2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Xin Zhou
Aixin Sun
Yong Liu
Jie Zhang
Chunyan Miao
SSL
308
103
0
07 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Kaixiong Zhou
Xiao Shi Huang
Daochen Zha
Rui Chen
Li Li
Soo-Hyun Choi
Helen Zhou
GNNAI4CE
191
146
0
06 Jul 2021
Maximum Entropy Weighted Independent Set Pooling for Graph Neural
  Networks
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
Amirhossein Nouranizadeh
Mohammadjavad Matinkia
Mohammad Rahmati
Reza Safabakhsh
209
24
0
03 Jul 2021
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
M. Schuetz
J. K. Brubaker
H. Katzgraber
AI4CE
285
236
0
02 Jul 2021
Quantitative Evaluation of Explainable Graph Neural Networks for
  Molecular Property Prediction
Quantitative Evaluation of Explainable Graph Neural Networks for Molecular Property PredictionPatterns (Patterns), 2021
Jiahua Rao
Shuangjia Zheng
Yuedong Yang
226
60
0
01 Jul 2021
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