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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 Unified View on Graph Neural Networks as Graph Signal Denoising
A Unified View on Graph Neural Networks as Graph Signal DenoisingInternational Conference on Information and Knowledge Management (CIKM), 2020
Yao Ma
Xiaorui Liu
Tong Zhao
Yozen Liu
Shucheng Zhou
Neil Shah
AI4CE
290
196
0
05 Oct 2020
The Surprising Power of Graph Neural Networks with Random Node
  Initialization
The Surprising Power of Graph Neural Networks with Random Node InitializationInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Ralph Abboud
.Ismail .Ilkan Ceylan
Martin Grohe
Thomas Lukasiewicz
331
253
0
02 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to
  Accelerators
Computing Graph Neural Networks: A Survey from Algorithms to AcceleratorsACM Computing Surveys (ACM CSUR), 2020
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
GNN
476
267
0
30 Sep 2020
Graph Neural Networks with Heterophily
Graph Neural Networks with Heterophily
Jiong Zhu
Ryan A. Rossi
Anup B. Rao
Tung Mai
Nedim Lipka
Nesreen Ahmed
Danai Koutra
270
369
0
28 Sep 2020
Information Obfuscation of Graph Neural Networks
Information Obfuscation of Graph Neural Networks
Peiyuan Liao
Han Zhao
Keyulu Xu
Tommi Jaakkola
Geoffrey J. Gordon
Stefanie Jegelka
Ruslan Salakhutdinov
AAML
257
37
0
28 Sep 2020
Inductive Graph Embeddings through Locality Encodings
Inductive Graph Embeddings through Locality Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
GNN
75
1
0
26 Sep 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node
  Classification from an Optimization Perspective
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective
Hongwei Zhang
Tijin Yan
Zenjun Xie
Yuanqing Xia
Yuan Zhang
GNN
237
24
0
24 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs
C-SAW: A Framework for Graph Sampling and Random Walk on GPUsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020
Santosh Pandey
Lingda Li
A. Hoisie
Xin Li
Hang Liu
182
65
0
18 Sep 2020
Accelerating Graph Sampling for Graph Machine Learning using GPUs
Accelerating Graph Sampling for Graph Machine Learning using GPUsEuropean Conference on Computer Systems (EuroSys), 2020
Abhinav Jangda
Sandeep Polisetty
Arjun Guha
Marco Serafini
GNN
287
84
0
14 Sep 2020
Carousel Personalization in Music Streaming Apps with Contextual Bandits
Carousel Personalization in Music Streaming Apps with Contextual BanditsACM Conference on Recommender Systems (RecSys), 2020
Walid Bendada
Guillaume Salha-Galvan
Théo Bontempelli
164
62
0
14 Sep 2020
Implicit Graph Neural Networks
Implicit Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2020
Fangda Gu
Heng Chang
Wenwu Zhu
Somayeh Sojoudi
L. Ghaoui
GNN
249
168
0
14 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features
CatGCN: Graph Convolutional Networks with Categorical Node FeaturesIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Weijia Chen
Fuli Feng
Qifan Wang
Xiangnan He
Chonggang Song
Guohui Ling
Yongdong Zhang
GNN
174
24
0
11 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information
  Maximization
Transfer Learning of Graph Neural Networks with Ego-graph Information MaximizationNeural Information Processing Systems (NeurIPS), 2020
Qi Zhu
Carl Yang
Yidan Xu
Haonan Wang
Chao Zhang
Jiawei Han
349
131
0
11 Sep 2020
Implicit Feedback Deep Collaborative Filtering Product Recommendation
  System
Implicit Feedback Deep Collaborative Filtering Product Recommendation System
K. Bhaskar
D. Kundur
Y. Lawryshyn
BDL
186
3
0
08 Sep 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative
  Filtering
Simplify and Robustify Negative Sampling for Implicit Collaborative FilteringNeural Information Processing Systems (NeurIPS), 2020
Jingtao Ding
Yuhan Quan
Quanming Yao
Yong Li
Depeng Jin
154
114
0
07 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network
  Training
GraphNorm: A Principled Approach to Accelerating Graph Neural Network TrainingInternational Conference on Machine Learning (ICML), 2020
Tianle Cai
Shengjie Luo
Keyulu Xu
Di He
Tie-Yan Liu
Liwei Wang
GNN
244
198
0
07 Sep 2020
Online Disease Self-diagnosis with Inductive Heterogeneous Graph
  Convolutional Networks
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional NetworksThe Web Conference (WWW), 2020
Zifeng Wang
Rui Wen
Xi Chen
Shilei Cao
Shao-Lun Huang
B. Qian
Yefeng Zheng
187
34
0
06 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with
  Limited Sensitive Attribute Information
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute InformationWeb Search and Data Mining (WSDM), 2020
Enyan Dai
Suhang Wang
FaML
362
297
0
03 Sep 2020
Lifelong Graph Learning
Lifelong Graph LearningComputer Vision and Pattern Recognition (CVPR), 2020
Chen Wang
Yuheng Qiu
Dasong Gao
Sebastian Scherer
CLLGNNAI4CE
268
55
0
01 Sep 2020
A Metamodel and Framework for AGI
A Metamodel and Framework for AGI
Hugo Latapie
Özkan Kiliç
135
1
0
28 Aug 2020
Simplifying Architecture Search for Graph Neural Network
Simplifying Architecture Search for Graph Neural NetworkInternational Conference on Information and Knowledge Management (CIKM), 2020
Huan Zhao
Lanning Wei
Quanming Yao
GNNAI4CE
236
58
0
26 Aug 2020
Item Tagging for Information Retrieval: A Tripartite Graph Neural
  Network based Approach
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based ApproachAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Kelong Mao
Xi Xiao
Jieming Zhu
Biao Lu
Ruiming Tang
Xiuqiang He
136
26
0
26 Aug 2020
Learning Node Representations against Perturbations
Learning Node Representations against PerturbationsPattern Recognition (Pattern Recognit.), 2020
Xu Chen
Yuangang Pan
Ivor Tsang
Ya Zhang
195
4
0
26 Aug 2020
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network
  Systems
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network SystemsInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020
Yuwei Hu
Zihao Ye
Minjie Wang
Jiali Yu
Da Zheng
Mu Li
Zheng Zhang
Zhiru Zhang
Yida Wang
GNN
327
87
0
26 Aug 2020
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender
  Systems
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
Yishi Xu
Yingxue Zhang
Wei Guo
Huifeng Guo
Ruiming Tang
Mark Coates
CLL
222
95
0
25 Aug 2020
Towards Structured Prediction in Bioinformatics with Deep Learning
Towards Structured Prediction in Bioinformatics with Deep Learning
Yu Li
AI4CE
124
1
0
25 Aug 2020
Explainable Recommender Systems via Resolving Learning Representations
Explainable Recommender Systems via Resolving Learning Representations
Ninghao Liu
Yong Ge
Li Li
Helen Zhou
Rui Chen
Soo-Hyun Choi
129
28
0
21 Aug 2020
A comparative study of similarity-based and GNN-based link prediction
  approaches
A comparative study of similarity-based and GNN-based link prediction approaches
K. Islam
Sabeur Aridhi
Malika Smaïl-Tabbone
84
14
0
20 Aug 2020
LGNN: A Context-aware Line Segment Detector
LGNN: A Context-aware Line Segment Detector
Quan Meng
Jiakai Zhang
Qiang Hu
Xuming He
Jingyi Yu
174
28
0
13 Aug 2020
Adversarial Directed Graph Embedding
Adversarial Directed Graph EmbeddingAAAI Conference on Artificial Intelligence (AAAI), 2020
Shijie Zhu
Jianxin Li
Hao Peng
Senzhang Wang
Lifang He
GANGNN
226
48
0
09 Aug 2020
Graph Neural Networks: Architectures, Stability and Transferability
Graph Neural Networks: Architectures, Stability and Transferability
Luana Ruiz
Fernando Gama
Alejandro Ribeiro
GNN
416
153
0
04 Aug 2020
Peer-inspired Student Performance Prediction in Interactive Online
  Question Pools with Graph Neural Network
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network
Haotian Li
Huan Wei
Yong Wang
Yangqiu Song
Huamin Qu
AI4Ed
282
34
0
04 Aug 2020
Embedding Ranking-Oriented Recommender System Graphs
Embedding Ranking-Oriented Recommender System GraphsExpert systems with applications (ESWA), 2020
Taher Hekmatfar
Saman Haratizadeh
S. Goliaei
102
7
0
31 Jul 2020
Hierarchical BiGraph Neural Network as Recommendation Systems
Hierarchical BiGraph Neural Network as Recommendation Systems
Dom Huh
114
1
0
27 Jul 2020
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning
MetAL: Active Semi-Supervised Learning on Graphs via Meta Learning
Kaushalya Madhawa
T. Murata
AI4CE
168
9
0
22 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph
  Representation and Learning
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning
Xuebin Zheng
Bingxin Zhou
Ming Li
Yu Guang Wang
Junbin Gao
172
2
0
22 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix
  Factorization-based Perspective
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective
Qiang Liu
Haoli Zhang
Zhaocheng Liu
GNN
299
3
0
17 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous
  Graphs
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous GraphsNeural Information Processing Systems (NeurIPS), 2020
Dasol Hwang
Jinyoung Park
Sunyoung Kwon
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
263
76
0
16 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement
  Learning
Optimizing Memory Placement using Evolutionary Graph Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2020
Shauharda Khadka
Estelle Aflalo
Mattias Marder
Avrech Ben-David
Santiago Miret
Shie Mannor
Tamir Hazan
Hanlin Tang
Somdeb Majumdar
GNN
174
13
0
14 Jul 2020
Node Copying for Protection Against Graph Neural Network Topology
  Attacks
Node Copying for Protection Against Graph Neural Network Topology AttacksIEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019
Florence Regol
Soumyasundar Pal
Mark Coates
AAMLGNN
164
1
0
09 Jul 2020
Learning Graph Structure With A Finite-State Automaton Layer
Learning Graph Structure With A Finite-State Automaton LayerNeural Information Processing Systems (NeurIPS), 2020
Daniel D. Johnson
Hugo Larochelle
Daniel Tarlow
GNNAI4CE
164
17
0
09 Jul 2020
Towards Open-World Recommendation: An Inductive Model-based
  Collaborative Filtering Approach
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering ApproachInternational Conference on Machine Learning (ICML), 2020
Qitian Wu
Hengrui Zhang
Xiao-Zhi Gao
Junchi Yan
H. Zha
CML
264
45
0
09 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features
Graph Convolutional Networks for Graphs Containing Missing FeaturesFuture generations computer systems (FGCS), 2020
Hibiki Taguchi
Xin Liu
T. Murata
GNN
198
122
0
09 Jul 2020
Adversarial learning for product recommendation
Adversarial learning for product recommendationApplied Informatics (AI), 2020
Joel R. Bock
A. Maewal
GANCML
84
10
0
07 Jul 2020
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at
  Pinterest
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at PinterestKnowledge Discovery and Data Mining (KDD), 2020
Aditya Pal
Chantat Eksombatchai
Yitong Zhou
Bo Zhao
Charles R. Rosenberg
J. Leskovec
204
157
0
07 Jul 2020
RGCF: Refined Graph Convolution Collaborative Filtering with concise and
  expressive embedding
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding
Kang Liu
Feng Xue
Richang Hong
GNN
62
13
0
07 Jul 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular
  Property Prediction
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
Zhong Hao
Chengqiang Lu
Zheyuan Hu
Hongya Wang
Zhenya Huang
Qi Liu
Enhong Chen
Cheekong Lee
182
155
0
07 Jul 2020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for
  Graph Neural Networks
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks
Guyue Huang
Guohao Dai
Yu Wang
Huazhong Yang
GNN
188
147
0
07 Jul 2020
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural
  Networks
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks
Amol Kapoor
X. Ben
Luyang Liu
Bryan Perozzi
Matt Barnes
Martin J. Blais
S. O’Banion
143
214
0
06 Jul 2020
Learning Color Compatibility in Fashion Outfits
Learning Color Compatibility in Fashion Outfits
Heming Zhang
Xuewen Yang
Jianchao Tan
Chi-Hao Wu
Jue Wang
C.-C. Jay Kuo
141
13
0
05 Jul 2020
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