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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
    GNN
    BDL
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Papers citing "Graph Convolutional Neural Networks for Web-Scale Recommender Systems"

50 / 1,263 papers shown
Title
Dorylus: Affordable, Scalable, and Accurate GNN Training with
  Distributed CPU Servers and Serverless Threads
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
John Thorpe
Yifan Qiao
Jon Eyolfson
Shen Teng
Guanzhou Hu
...
Jinliang Wei
Keval Vora
Ravi Netravali
Miryung Kim
G. Xu
GNN
22
140
0
24 May 2021
Federated Graph Learning -- A Position Paper
Federated Graph Learning -- A Position Paper
Hu Zhang
T. Shen
Fei Wu
Mingyang Yin
Hongxia Yang
Chao Wu
FedML
24
50
0
24 May 2021
A Robust and Generalized Framework for Adversarial Graph Embedding
A Robust and Generalized Framework for Adversarial Graph Embedding
Jianxin Li
Xingcheng Fu
Hao Peng
Senzhang Wang
Shijie Zhu
Qingyun Sun
Philip S. Yu
Lifang He
30
16
0
22 May 2021
Improving Graph Neural Networks with Simple Architecture Design
Improving Graph Neural Networks with Simple Architecture Design
S. Maurya
Xin Liu
T. Murata
26
48
0
17 May 2021
Graph Learning based Recommender Systems: A Review
Graph Learning based Recommender Systems: A Review
Shoujin Wang
Liang Hu
Yan Wang
Xiangnan He
Quan.Z Sheng
M. Orgun
LongBing Cao
F. Ricci
Philip S. Yu
34
198
0
13 May 2021
GIPA: General Information Propagation Algorithm for Graph Learning
GIPA: General Information Propagation Algorithm for Graph Learning
Qinkai Zheng
Houyi Li
Peng Zhang
Zhixiong Yang
Guowei Zhang
Xintan Zeng
Yongchao Liu
33
9
0
13 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with
  Graphs
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs
Christopher Morris
Matthias Fey
Nils M. Kriege
GNN
34
23
0
12 May 2021
Thematic recommendations on knowledge graphs using multilayer networks
Thematic recommendations on knowledge graphs using multilayer networks
Mariano Beguerisse-Díaz
Dimitrios Korkinof
Till Hoffmann
21
1
0
12 May 2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
Hongkuan Zhou
Ajitesh Srivastava
Hanqing Zeng
Rajgopal Kannan
Viktor Prasanna
GNN
19
65
0
10 May 2021
Graph Feature Gating Networks
Graph Feature Gating Networks
Wei Jin
Xiaorui Liu
Yao Ma
Tyler Derr
Charu C. Aggarwal
Jiliang Tang
40
1
0
10 May 2021
Estimating the State of Epidemics Spreading with Graph Neural Networks
Estimating the State of Epidemics Spreading with Graph Neural Networks
Abhishek Tomy
Matteo Razzanelli
Francesco Di Lauro
Daniela Rus
Cosimo Della Santina
34
26
0
10 May 2021
Graph-based Multilingual Product Retrieval in E-commerce Search
Graph-based Multilingual Product Retrieval in E-commerce Search
Hanqing Lu
You-Heng Hu
Tong Zhao
Tony Wu
Yiwei Song
Bing Yin
20
25
0
06 May 2021
GraphFormers: GNN-nested Transformers for Representation Learning on
  Textual Graph
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Junhan Yang
Zheng Liu
Shitao Xiao
Chaozhuo Li
Defu Lian
Sanjay Agrawal
Amit Singh
Guangzhong Sun
Xing Xie
AI4CE
19
149
0
06 May 2021
Scalable Graph Neural Network Training: The Case for Sampling
Scalable Graph Neural Network Training: The Case for Sampling
Marco Serafini
Hui Guan
GNN
41
23
0
05 May 2021
Augmenting Sequential Recommendation with Pseudo-Prior Items via
  Reversely Pre-training Transformer
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Zhiwei Liu
Ziwei Fan
Yu Wang
Philip S. Yu
111
145
0
02 May 2021
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in
  Graph-based Attack and Defense
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense
Haoxi Zhan
Xiaobing Pei
AAML
24
9
0
30 Apr 2021
Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks
Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks
Krittika D’Silva
Jordan Cambe
A. Noulas
Cecilia Mascolo
Adam Waksman
GNN
13
0
0
29 Apr 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph
  Node Classification
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification
Jie Chen
Shouzhen Chen
Mingyuan Bai
Jian Pu
Junping Zhang
Junbin Gao
39
21
0
28 Apr 2021
Network Embedding via Deep Prediction Model
Network Embedding via Deep Prediction Model
Xin Sun
Zenghui Song
Yongbo Yu
Junyu Dong
Claudia Plant
Christian Boehm
GNN
22
2
0
27 Apr 2021
Unsupervised Deep Manifold Attributed Graph Embedding
Unsupervised Deep Manifold Attributed Graph Embedding
Z. Zang
Siyuan Li
Di Wu
Jianzhu Guo
Yongjie Xu
Stan Z. Li
DRL
23
5
0
27 Apr 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative
  Filtering to Information-rich Recommendation
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
32
285
0
27 Apr 2021
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
49
11
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
47
6
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
Yang Li
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Bin Cui
27
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 Table
Huifeng Guo
Wei Guo
Yong Gao
Ruiming Tang
Xiuqiang He
Wenzhi Liu
43
20
0
17 Apr 2021
Dual Metric Learning for Effective and Efficient Cross-Domain
  Recommendations
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
Pan Li
Alexander Tuzhilin
22
50
0
17 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC
Bayesian graph convolutional neural networks via tempered MCMC
Rohitash Chandra
A. Bhagat
Manavendra Maharana
P. Krivitsky
GNN
BDL
28
16
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
21
7
0
15 Apr 2021
Lorentzian Graph Convolutional Networks
Lorentzian Graph Convolutional Networks
Yiding Zhang
Xiao Wang
C. Shi
Nian Liu
Guojie Song
29
96
0
15 Apr 2021
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural
  Networks
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks
Vasimuddin
Sanchit Misra
Guixiang Ma
Ramanarayan Mohanty
E. Georganas
A. Heinecke
Dhiraj D. Kalamkar
Nesreen Ahmed
Sasikanth Avancha
GNN
33
119
0
14 Apr 2021
Search to aggregate neighborhood for graph neural network
Search to aggregate neighborhood for graph neural network
Huan Zhao
Quanming Yao
Wei-Wei Tu
GNN
35
90
0
14 Apr 2021
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant
  Weight Matrices
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices
Zhe Zhou
Bizhao Shi
Zhe Zhang
Yijin Guan
Guangyu Sun
Guojie Luo
GNN
36
32
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
18
10
0
08 Apr 2021
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph
  Representation Learning
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning
Tong Chen
Hongzhi Yin
Jie Ren
Zi Huang
Xiangliang Zhang
Hao Wang
25
4
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
30
36
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 Search
Feng Li
Zhenrui Chen
Pengjie Wang
Yi Ren
Di Zhang
Xiaoyu Zhu
GNN
15
58
0
30 Mar 2021
Graph Unlearning
Graph Unlearning
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang
MU
24
140
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-Wei Zhang
David Wipf
36
55
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
23
400
0
17 Mar 2021
Dual Side Deep Context-aware Modulation for Social Recommendation
Dual Side Deep Context-aware Modulation for Social Recommendation
Bairan Fu
Wenming Zhang
Guangneng Hu
Xinyu Dai
Shujian Huang
Jiajun Chen
22
48
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
27
2
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 survey
Xin Liu
Yurui Lai
Lei Deng
Guoqi Li
Xiaochun Ye
Xiaochun Ye
GNN
29
100
0
10 Mar 2021
Graph Convolutional Embeddings for Recommender Systems
Graph Convolutional Embeddings for Recommender Systems
P. G. Duran
Alexandros Karatzoglou
Jordi Vitrià
Xin Xin
Ioannis Arapakis
GNN
AI4TS
25
11
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 Architecture
S. Min
Kun Wu
Sitao Huang
Mert Hidayetouglu
Jinjun Xiong
Eiman Ebrahimi
Deming Chen
Wen-mei W. Hwu
GNN
10
67
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
32
5
0
03 Mar 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret
A Biased Graph Neural Network Sampler with Near-Optimal Regret
Qingru Zhang
David Wipf
Quan Gan
Le Song
40
24
0
01 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning
CogDL: A Comprehensive Library for Graph Deep Learning
Yukuo Cen
Zhenyu Hou
Yan Wang
Qibin Chen
Yi Luo
...
Guohao Dai
Yu Wang
Chang Zhou
Hongxia Yang
Jie Tang
GNN
AI4CE
19
16
0
01 Mar 2021
Automated Machine Learning on Graphs: A Survey
Automated Machine Learning on Graphs: A Survey
Ziwei Zhang
Xin Eric Wang
Wenwu Zhu
22
85
0
01 Mar 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised
  Learning
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
49
290
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 Learning
Chirag Agarwal
Himabindu Lakkaraju
Marinka Zitnik
27
157
0
25 Feb 2021
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