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1905.07953
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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
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Papers citing
"Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"
50 / 511 papers shown
Title
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
Sina Sajadmanesh
Ali Shahin Shamsabadi
A. Bellet
D. Gática-Pérez
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02 Mar 2022
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm
Wentao Zhang
Yu Shen
Zheyu Lin
Yang Li
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Tengjiao Wang
GNN
40
59
0
01 Mar 2022
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning
Haoteng Yin
Muhan Zhang
Yanbang Wang
Jianguo Wang
Pan Li
13
33
0
28 Feb 2022
Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision
P. Elinas
Edwin V. Bonilla
AI4CE
34
5
0
25 Feb 2022
Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks
Soumyasundar Pal
Antonios Valkanas
Florence Regol
Mark Coates
SSL
35
16
0
22 Feb 2022
Graph Lifelong Learning: A Survey
F. Febrinanto
Feng Xia
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLL
AI4CE
44
51
0
22 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey
Kaize Ding
Zhe Xu
Hanghang Tong
Huan Liu
OOD
GNN
34
220
0
16 Feb 2022
A Review of Topological Data Analysis for Cybersecurity
T. Davies
28
3
0
16 Feb 2022
Graph Neural Networks for Graphs with Heterophily: A Survey
Xin-Yang Zheng
Yi Wang
Yixin Liu
Ming Li
Miao Zhang
Di Jin
Philip S. Yu
Shirui Pan
33
216
0
14 Feb 2022
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network
Mohammadreza Radmanesh
Hossein Ghorbanzadeh
Ahmad Asgharian Rezaei
Mahdi Jalili
Xinghuo Yu
6
4
0
13 Feb 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
Xin Liu
Yurui Lai
Lei Deng
Guoqi Li
Xiaochun Ye
Xiaochun Ye
Shirui Pan
Yuan Xie
GNN
16
42
0
10 Feb 2022
GraphDCA -- a Framework for Node Distribution Comparison in Real and Synthetic Graphs
Ciwan Ceylan
Petra Poklukar
Hanna Hultin
Alexander Kravchenko
Anastasia Varava
Danica Kragic
29
1
0
08 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences
Meng Liu
Shuiwang Ji
GNN
22
3
0
07 Feb 2022
Differentially Private Graph Classification with GNNs
Tamara T. Mueller
Johannes C. Paetzold
Chinmay Prabhakar
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
55
18
0
05 Feb 2022
MarkovGNN: Graph Neural Networks on Markov Diffusion
Md. Khaledur Rahman
Abhigya Agrawal
A. Azad
GNN
BDL
29
2
0
05 Feb 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks
R. Waleffe
J. Mohoney
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
39
25
0
04 Feb 2022
Graph-Coupled Oscillator Networks
T. Konstantin Rusch
B. Chamberlain
J. Rowbottom
S. Mishra
M. Bronstein
45
106
0
04 Feb 2022
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction
Guillaume Salha-Galvan
J. Lutzeyer
George Dasoulas
Romain Hennequin
Michalis Vazirgiannis
21
49
0
02 Feb 2022
When Do Flat Minima Optimizers Work?
Jean Kaddour
Linqing Liu
Ricardo M. A. Silva
Matt J. Kusner
ODL
28
58
0
01 Feb 2022
SUGAR: Efficient Subgraph-level Training via Resource-aware Graph Partitioning
Zihui Xue
Yuedong Yang
Mengtian Yang
R. Marculescu
19
9
0
31 Jan 2022
Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA
Piotr Klukowski
R. Riek
P. Güntert
11
51
0
28 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks
Hanqing Zeng
Muhan Zhang
Yinglong Xia
Ajitesh Srivastava
Andrey Malevich
Rajgopal Kannan
Viktor Prasanna
Long Jin
Ren Chen
GNN
33
144
0
19 Jan 2022
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts
Ying-Shuai Wanga
Yunxia Liua
Licong Dongc
Xuzhou Wua
Huabin Zhangb
Qiongyu Yed
Desheng Sunc
Xiaobo Zhoue
Kehong Yuan
27
0
0
19 Jan 2022
Training Free Graph Neural Networks for Graph Matching
Zhiyuan Liu
Yixin Cao
Fuli Feng
Xiang Wang
Jie Tang
Kenji Kawaguchi
Tat-Seng Chua
29
0
0
14 Jan 2022
Structure Enhanced Graph Neural Networks for Link Prediction
Baole Ai
Zhou Qin
Wen Shen
Yong Li
24
7
0
14 Jan 2022
Local2Global: A distributed approach for scaling representation learning on graphs
Lucas G. S. Jeub
Giovanni Colavizza
Xiaowen Dong
Marya Bazzi
Mihai Cucuringu
28
1
0
12 Jan 2022
Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels
Enyan Dai
Wei-dong Jin
Hui Liu
Suhang Wang
NoLa
41
94
0
01 Jan 2022
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
38
3
0
30 Dec 2021
HP-GNN: Generating High Throughput GNN Training Implementation on CPU-FPGA Heterogeneous Platform
Yi-Chien Lin
Bingyi Zhang
Viktor Prasanna
GNN
19
34
0
22 Dec 2021
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes
Lukas Galke
Iacopo Vagliano
Benedikt Franke
Tobias Zielke
Marcel Hoffmann
A. Scherp
CLL
36
13
0
20 Dec 2021
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods
Md. Khaledur Rahman
A. Azad
AI4TS
33
3
0
20 Dec 2021
Community-based Layerwise Distributed Training of Graph Convolutional Networks
Hongyi Li
Junxiang Wang
Yongchao Wang
Yue Cheng
Liang Zhao
BDL
GNN
6
1
0
17 Dec 2021
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
Tianfeng Liu
Yangrui Chen
Dan Li
Chuan Wu
Yibo Zhu
Jun He
Size Zheng
Hongzheng Chen
Hongzhi Chen
Chuanxiong Guo
GNN
34
77
0
16 Dec 2021
Bayesian Graph Contrastive Learning
Arman Hasanzadeh
Mohammadreza Armandpour
Ehsan Hajiramezanali
Mingyuan Zhou
N. Duffield
K. Narayanan
UQCV
BDL
SSL
9
5
0
15 Dec 2021
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework
Xupeng Miao
Hailin Zhang
Yining Shi
Xiaonan Nie
Zhi-Xin Yang
Yangyu Tao
Tengjiao Wang
24
57
0
14 Dec 2021
SCR: Training Graph Neural Networks with Consistency Regularization
Chenhui Zhang
Yufei He
Yukuo Cen
Zhenyu Hou
Wenzheng Feng
Yuxiao Dong
Xu Cheng
Hongyun Cai
Feng He
Jie Tang
38
8
0
08 Dec 2021
BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast
Jiajun Zhou
Chenkai Hu
Shenbo Gong
Jiaying Xu
Jie Shen
Qi Xuan
19
1
0
07 Dec 2021
Structure-Aware Label Smoothing for Graph Neural Networks
Yiwei Wang
Yujun Cai
Keli Zhang
Wei Wang
Henghui Ding
Muhao Chen
Jing Tang
Bryan Hooi
34
3
0
01 Dec 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
Jin Xu
Mingjian Chen
Jianqiang Huang
Xingyuan Tang
Ke Hu
Jian Li
Jia Cheng
Jun Lei
25
2
0
25 Nov 2021
Network In Graph Neural Network
Xiang Song
Runjie Ma
Jiahang Li
Muhan Zhang
David Wipf
GNN
24
10
0
23 Nov 2021
QGTC: Accelerating Quantized Graph Neural Networks via GPU Tensor Core
Yuke Wang
Boyuan Feng
Yufei Ding
GNN
33
41
0
18 Nov 2021
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks
M. Ramezani
Weilin Cong
Mehrdad Mahdavi
M. Kandemir
A. Sivasubramaniam
GNN
25
32
0
16 Nov 2021
AnchorGAE: General Data Clustering via
O
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n
)
O(n)
O
(
n
)
Bipartite Graph Convolution
Hongyuan Zhang
Jiankun Shi
Rui Zhang
Xuelong Li
GNN
79
1
0
12 Nov 2021
Implicit vs Unfolded Graph Neural Networks
Yongyi Yang
Tang Liu
Yangkun Wang
Zengfeng Huang
David Wipf
54
15
0
12 Nov 2021
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs
Hesham Mostafa
GNN
51
21
0
11 Nov 2021
Implicit SVD for Graph Representation Learning
Sami Abu-El-Haija
Hesham Mostafa
Marcel Nassar
V. Crespi
Greg Ver Steeg
Aram Galstyan
45
5
0
11 Nov 2021
Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
Amur Ghose
Vincent Zhang
Yingxue Zhang
Dong Li
Wulong Liu
Mark Coates
48
27
0
10 Nov 2021
LW-GCN: A Lightweight FPGA-based Graph Convolutional Network Accelerator
Zhuofu Tao
Chen Wu
Yuan Liang
Lei He
GNN
19
26
0
04 Nov 2021
FedGraph: Federated Graph Learning with Intelligent Sampling
Fahao Chen
Peng Li
T. Miyazaki
Celimuge Wu
FedML
27
78
0
02 Nov 2021
GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing
Zhe Zhou
Cong Li
Xuechao Wei
Xiaoyang Wang
Guangyu Sun
GNN
22
24
0
01 Nov 2021
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