Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1905.07953
Cited By
v1
v2 (latest)
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
20 May 2019
Wei-Lin Chiang
Xuanqing Liu
Si Si
Yang Li
Samy Bengio
Cho-Jui Hsieh
GNN
Re-assign community
ArXiv (abs)
PDF
HTML
Github (35633★)
Papers citing
"Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"
50 / 514 papers shown
Title
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng
Xu Chen
Jiangchao Yao
Hongxia Yang
Chunyuan Li
Ya Zhang
Hao Zhang
Ivor Tsang
Jingren Zhou
Mingyuan Zhou
SSL
113
12
0
08 May 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision
Chuan Chen
Weibo Hu
Ziyue Xu
Zibin Zheng
FedML
69
59
0
07 May 2021
Scalable Graph Neural Network Training: The Case for Sampling
Marco Serafini
Hui Guan
GNN
83
28
0
05 May 2021
A Comparative Study of Using Spatial-Temporal Graph Convolutional Networks for Predicting Availability in Bike Sharing Schemes
Zhengyong Chen
Hongde Wu
Noel E. O'Connor
Mingming Liu
GNN
54
12
0
21 Apr 2021
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
97
11
0
21 Apr 2021
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
Tengjiao Wang
72
9
0
20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm
Ziyuan Wang
Fengzhao Yang
Rui Fan
GNN
45
0
0
19 Apr 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Hao Peng
Ruitong Zhang
Yingtong Dou
Renyu Yang
Jingyi Zhang
Philip S. Yu
140
118
0
16 Apr 2021
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
74
125
0
14 Apr 2021
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices
Zhe Zhou
Bizhao Shi
Zhe Zhang
Yijin Guan
Guangyu Sun
Guojie Luo
GNN
81
33
0
13 Apr 2021
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes
Yong-Min Shin
Cong Tran
Won-Yong Shin
Xin Cao
SSL
35
6
0
12 Apr 2021
Do We Need Anisotropic Graph Neural Networks?
Shyam A. Tailor
Felix L. Opolka
Pietro Lio
Nicholas D. Lane
95
35
0
03 Apr 2021
Graph Unlearning
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang
MU
106
149
0
27 Mar 2021
Self-supervised Graph Neural Networks without explicit negative sampling
Zekarias T. Kefato
Sarunas Girdzijauskas
SSL
102
44
0
27 Mar 2021
Structure-Aware Face Clustering on a Large-Scale Graph with
10
7
\bf{10^{7}}
1
0
7
Nodes
Shuai Shen
Wanhua Li
Zheng Zhu
Guan Huang
Dalong Du
Jiwen Lu
Jie Zhou
CVBM
GNN
93
39
0
24 Mar 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Hongyu Ren
Maho Nakata
Yuxiao Dong
J. Leskovec
AI4CE
114
415
0
17 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey
Xin Liu
Yurui Lai
Lei Deng
Guoqi Li
Xiaochun Ye
Xiaochun Ye
GNN
86
105
0
10 Mar 2021
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
100
69
0
04 Mar 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret
Qingru Zhang
David Wipf
Quan Gan
Le Song
129
24
0
01 Mar 2021
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
132
17
0
01 Mar 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
Haoran You
Zhihan Lu
Zijian Zhou
Y. Fu
Yingyan Lin
GNN
109
33
0
01 Mar 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data
Mahsa Ghorbani
Anees Kazi
M. Baghshah
Hamid R. Rabiee
Nassir Navab
149
74
0
27 Feb 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
125
307
0
27 Feb 2021
Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction
Jakob Meldgaard Kjær
Lasse Kristensen
Mads Alberg Christensen
GNN
AI4TS
28
1
0
26 Feb 2021
Pre-Training on Dynamic Graph Neural Networks
Ke-Jia Chen
Jiajun Zhang
Linpu Jiang
Yunyun Wang
Yuxuan Dai
AI4CE
79
15
0
24 Feb 2021
GIST: Distributed Training for Large-Scale Graph Convolutional Networks
Cameron R. Wolfe
Jingkang Yang
Arindam Chowdhury
Chen Dun
Artun Bayer
Santiago Segarra
Anastasios Kyrillidis
BDL
GNN
LRM
120
9
0
20 Feb 2021
Privacy-Preserving Graph Convolutional Networks for Text Classification
Timour Igamberdiev
Ivan Habernal
GNN
85
33
0
10 Feb 2021
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
Elan Markowitz
Keshav Balasubramanian
Mehrnoosh Mirtaheri
Sami Abu-El-Haija
Bryan Perozzi
Greg Ver Steeg
Aram Galstyan
65
22
0
08 Feb 2021
Mask-GVAE: Blind Denoising Graphs via Partition
Jia Li
Mengzhou Liu
Honglei Zhang
Pengyun Wang
Yong Wen
Lujia Pan
Hong Cheng
75
9
0
08 Feb 2021
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
GNN
AI4CE
58
24
0
20 Jan 2021
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks
Peng Jiang
Masuma Akter Rumi
GNN
51
7
0
19 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification
Tian Xie
Bin Wang
C.-C. Jay Kuo
76
36
0
07 Jan 2021
Binary Graph Neural Networks
Mehdi Bahri
Gaétan Bahl
Stefanos Zafeiriou
GNN
AI4CE
78
54
0
31 Dec 2020
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
Binghui Wang
Jinyuan Jia
Neil Zhenqiang Gong
GNN
101
18
0
24 Dec 2020
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks
Hao Zeng
Qingjie Liu
Mingming Zhang
Xiaoqing Han
Yunhong Wang
GNN
105
16
0
20 Dec 2020
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism
M. Dearing
Xiaoyang Sean Wang
GNN
AI4CE
23
3
0
20 Dec 2020
A pipeline for fair comparison of graph neural networks in node classification tasks
Wentao Zhao
Dalin Zhou
X. Qiu
Wei Jiang
62
5
0
19 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
170
126
0
16 Dec 2020
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
Mengzhang Li
Zhanxing Zhu
GNN
AI4TS
103
776
0
15 Dec 2020
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
Junchen Ye
Leilei Sun
Bowen Du
Yanjie Fu
Hui Xiong
GNN
AI4TS
85
153
0
15 Dec 2020
Distributed Training of Graph Convolutional Networks using Subgraph Approximation
Alexandra Angerd
Keshav Balasubramanian
M. Annavaram
GNN
54
8
0
09 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
Binghui Wang
Ang Li
H. Li
Yiran Chen
138
118
0
08 Dec 2020
Graph Signal Recovery Using Restricted Boltzmann Machines
Ankith Mohan
A. Nakano
Emilio Ferrara
50
4
0
20 Nov 2020
Scalable Graph Neural Networks for Heterogeneous Graphs
Lingfan Yu
Jiajun Shen
Jinyang Li
Adam Lerer
GNN
66
50
0
19 Nov 2020
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks
Tao Huang
Yihan Zhang
Jiajing Wu
Junyuan Fang
Zibin Zheng
GNN
21
2
0
17 Nov 2020
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs
Yunpeng Weng
Xu Chen
Liang Chen
Wei Liu
GNN
26
10
0
03 Nov 2020
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs
Hao Xu
Shengqi Sang
Peizhen Bai
Laurence Yang
Haiping Lu
GNN
71
15
0
29 Oct 2020
Scalable Graph Neural Networks via Bidirectional Propagation
Ming Chen
Zhewei Wei
Bolin Ding
Yaliang Li
Ye Yuan
Xiaoyong Du
Ji-Rong Wen
GNN
54
148
0
29 Oct 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
Bang Wu
Xiangwen Yang
Shirui Pan
Lizhen Qu
MIACV
MLAU
107
55
0
24 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs
Kezhi Kong
Ge Li
Mucong Ding
Zuxuan Wu
Chen Zhu
Guohao Li
Gavin Taylor
Tom Goldstein
150
77
0
19 Oct 2020
Previous
1
2
3
...
10
11
8
9
Next