ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.07953
  4. Cited By
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph
  Convolutional Networks
v1v2 (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
ArXiv (abs)PDFHTMLGithub (35633★)

Papers citing "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"

50 / 514 papers shown
Title
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
Zhenyu Hou
Yufei He
Yukuo Cen
Xiao Liu
Yuxiao Dong
Evgeny Kharlamov
Jie Tang
SSL
68
116
0
10 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for
  Molecule, Protein and Material
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material
Mengchun Zhang
Maryam Qamar
Taegoo Kang
Yuna Jung
Chenshuang Zhang
Sung-Ho Bae
Chaoning Zhang
DiffMMedIm
127
47
0
04 Apr 2023
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates
  for Mesh Physics
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics
Brian Bartoldson
Yeping Hu
Amarjeet Saini
Jose Cadena
Yu-Hang Fu
Jie Bao
Zhijie Xu
Brenda Ng
P. Nguyen
AI4CE
62
2
0
01 Apr 2023
HD-GCN:A Hybrid Diffusion Graph Convolutional Network
HD-GCN:A Hybrid Diffusion Graph Convolutional Network
Zhi Yang
Kang Li
Haitao Gan
Zhongwei Huang
Ming Shi
GNN
68
2
0
31 Mar 2023
GNN-Ensemble: Towards Random Decision Graph Neural Networks
GNN-Ensemble: Towards Random Decision Graph Neural Networks
Wenqi Wei
Mu Qiao
D. Jadav
AAMLAI4CE
67
3
0
20 Mar 2023
Provably Convergent Subgraph-wise Sampling for Fast GNN Training
Provably Convergent Subgraph-wise Sampling for Fast GNN Training
Jie Wang
Zhihao Shi
Xize Liang
Shuiwang Ji
Bin Li
Feng Wu
57
0
0
17 Mar 2023
NESS: Node Embeddings from Static SubGraphs
NESS: Node Embeddings from Static SubGraphs
Talip Uçar
59
1
0
15 Mar 2023
Sparse and Local Networks for Hypergraph Reasoning
Sparse and Local Networks for Hypergraph Reasoning
Guangxuan Xiao
L. Kaelbling
Jiajun Wu
Jiayuan Mao
NAIReLMLRM
88
1
0
09 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph
  Representation Learning
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Haoteng Yin
Muhan Zhang
Jianguo Wang
Pan Li
176
9
0
06 Mar 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA
  Heterogeneous Platform
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform
Yi-Chien Lin
Bingyi Zhang
Viktor Prasanna
GNN
54
7
0
02 Mar 2023
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit
  Communication
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication
Mengdie Zhang
Qi Hu
Peng Sun
Yonggang Wen
Tianwei Zhang
GNN
67
6
0
02 Mar 2023
Steering Graph Neural Networks with Pinning Control
Steering Graph Neural Networks with Pinning Control
Acong Zhang
P. Li
Guanrong Chen
LLMSV
62
0
0
02 Mar 2023
Asymmetric Learning for Graph Neural Network based Link Prediction
Asymmetric Learning for Graph Neural Network based Link Prediction
Kai-Lang Yao
Wusuo Li
81
2
0
01 Mar 2023
Higher-order Sparse Convolutions in Graph Neural Networks
Higher-order Sparse Convolutions in Graph Neural Networks
Jhony H. Giraldo
S. Javed
Arif Mahmood
Fragkiskos D. Malliaros
T. Bouwmans
GNN
70
2
0
21 Feb 2023
Label Information Enhanced Fraud Detection against Low Homophily in
  Graphs
Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Yuchen Wang
Jinghui Zhang
Zhengjie Huang
Weibin Li
Shi Feng
...
Dianhai Yu
Fang Dong
Jiahui Jin
Beilun Wang
Junzhou Luo
55
42
0
21 Feb 2023
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional
  Networks
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks
Lefei Zhang
Xiaodong Yan
Jianshan He
Ruopeng Li
Wei Chu
GNN
66
13
0
10 Feb 2023
Dual Algorithmic Reasoning
Dual Algorithmic Reasoning
Danilo Numeroso
D. Bacciu
Petar Velickovic
76
19
0
09 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
Rui Xue
Haoyu Han
MohamadAli Torkamani
Jian Pei
Xiaorui Liu
GNN
102
22
0
03 Feb 2023
Do We Really Need Graph Neural Networks for Traffic Forecasting?
Do We Really Need Graph Neural Networks for Traffic Forecasting?
Xu Liu
Yuxuan Liang
Chao Huang
Hengchang Hu
Yushi Cao
Bryan Hooi
Roger Zimmermann
AI4TS
98
22
0
30 Jan 2023
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
ZiCo: Zero-shot NAS via Inverse Coefficient of Variation on Gradients
Guihong Li
Yuedong Yang
Kartikeya Bhardwaj
R. Marculescu
117
63
0
26 Jan 2023
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained
  Diffusion
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
Qitian Wu
Chenxiao Yang
Wen-Long Zhao
Yixuan He
David Wipf
Junchi Yan
DiffM
109
89
0
23 Jan 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for
  Graph Neural Network Training
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training
Kezhao Huang
Haitian Jiang
Minjie Wang
Guangxuan Xiao
David Wipf
Xiang Song
Quan Gan
Zengfeng Huang
Jidong Zhai
Zheng Zhang
GNN
128
3
0
18 Jan 2023
A Network Science perspective of Graph Convolutional Networks: A survey
A Network Science perspective of Graph Convolutional Networks: A survey
Mingshan Jia
Bogdan Gabrys
Katarzyna Musial
GNN
97
8
0
12 Jan 2023
Influence-Based Mini-Batching for Graph Neural Networks
Influence-Based Mini-Batching for Graph Neural Networks
Johannes Gasteiger
Chao Qian
Stephan Günnemann
GNN
73
15
0
18 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic
  Survey
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey
Shaopeng Wei
Yu Zhao
Xingyan Chen
Qing Li
Fuzhen Zhuang
Ji Liu
Fuji Ren
Gang Kou
AI4CE
131
5
0
17 Dec 2022
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich
  Platform for Graph Learning Benchmarks
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks
Jiaqi Ma
Xingjian Zhang
Hezheng Fan
Jin Huang
Tianyue Li
Tinghong Li
Yiwen Tu
Chen Zhu
Qiaozhu Mei
114
5
0
08 Dec 2022
DGI: Easy and Efficient Inference for GNNs
DGI: Easy and Efficient Inference for GNNs
Peiqi Yin
Xiao Yan
Jinjing Zhou
Qiang Fu
Zhenkun Cai
James Cheng
Bo Tang
Minjie Wang
GNN
63
4
0
28 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for
  Graph Continual Learning
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
Jihoon Ko
Shinhwan Kang
Taehyung Kwon
Heechan Moon
Kijung Shin
CLL
101
7
0
26 Nov 2022
Extreme Acceleration of Graph Neural Network-based Prediction Models for
  Quantum Chemistry
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry
Hatem Helal
J. Firoz
Jenna A. Bilbrey
M. M. Krell
Tom Murray
Ang Li
S. Xantheas
Sutanay Choudhury
GNN
111
5
0
25 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable
  Graph Learning Paradigm
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm
Jie Chen
Zilong Li
Ying Zhu
Junping Zhang
Jian Pu
89
8
0
21 Nov 2022
Towards Generalizable Graph Contrastive Learning: An Information Theory
  Perspective
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective
Yige Yuan
Bingbing Xu
Huawei Shen
Qi Cao
Keting Cen
Wen Zheng
Xueqi Cheng
72
13
0
20 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from
  Markov Chains Perspective
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective
Weichen Zhao
Chenguang Wang
Congying Han
Tiande Guo
92
1
0
12 Nov 2022
A New Graph Node Classification Benchmark: Learning Structure from
  Histology Cell Graphs
A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs
Claudia Vanea
Jonathan Campbell
Omri Dodi
L. Salumäe
K. Meir
...
H. Hochner
T. Laisk
L. Ernst
C. Lindgren
C. Nellåker
52
3
0
11 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks
A Comprehensive Survey on Distributed Training of Graph Neural Networks
Haiyang Lin
Yurui Lai
Xiaochun Ye
Xiaochun Ye
Shirui Pan
Wenguang Chen
Yuan Xie
GNN
115
27
0
10 Nov 2022
Characterizing the Efficiency of Graph Neural Network Frameworks with a
  Magnifying Glass
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass
Xin Huang
Jongryool Kim
Brad Rees
Chul-Ho Lee
GNN
42
4
0
06 Nov 2022
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph
  Node Classifiers
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers
Haris Mansoor
Sarwan Ali
Shafiq Alam
Muhammad Asad Khan
U. Hassan
Imdadullah Khan
FaML
78
5
0
01 Nov 2022
Efficient Graph Neural Network Inference at Large Scale
Efficient Graph Neural Network Inference at Large Scale
Xin-pu Gao
Wentao Zhang
Yingxia Shao
Quoc Viet Hung Nguyen
Tengjiao Wang
Hongzhi Yin
AI4CEGNN
119
8
0
01 Nov 2022
Distributed Graph Neural Network Training: A Survey
Distributed Graph Neural Network Training: A Survey
Yingxia Shao
Hongzheng Li
Xizhi Gu
Hongbo Yin
Yawen Li
Xupeng Miao
Wentao Zhang
Tengjiao Wang
Lei Chen
GNNAI4CE
127
65
0
01 Nov 2022
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for
  COVID-19 forecasting
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting
Smart Health
Ming Dong
Ying Li
AI4TS
51
14
0
31 Oct 2022
Improving Graph Neural Networks with Learnable Propagation Operators
Improving Graph Neural Networks with Learnable Propagation Operators
Moshe Eliasof
Lars Ruthotto
Eran Treister
96
23
0
31 Oct 2022
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs
Layer-Neighbor Sampling -- Defusing Neighborhood Explosion in GNNs
M. F. Balin
Ümit V. Çatalyürek
85
17
0
24 Oct 2022
Binary Graph Convolutional Network with Capacity Exploration
Binary Graph Convolutional Network with Capacity Exploration
Junfu Wang
Yuanfang Guo
Liang Yang
Yun-an Wang
GNN
53
5
0
24 Oct 2022
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and
  Superior Method
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method
Yihong Huang
Liping Wang
Fan Zhang
Xuemin Lin
87
25
0
24 Oct 2022
Graph Few-shot Learning with Task-specific Structures
Graph Few-shot Learning with Task-specific Structures
Song Wang
Chen Chen
Jundong Li
95
24
0
21 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse
  Computations
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations
Zirui Liu
Sheng-Wei Chen
Kaixiong Zhou
Daochen Zha
Xiao Huang
Helen Zhou
115
17
0
19 Oct 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
Ajay Jaiswal
Peihao Wang
Tianlong Chen
Justin F. Rousseau
Ying Ding
Zhangyang Wang
77
10
0
14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and
  Rethinking
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
Keyu Duan
Zirui Liu
Peihao Wang
Wenqing Zheng
Kaixiong Zhou
Tianlong Chen
Helen Zhou
Zhangyang Wang
GNN
99
58
0
14 Oct 2022
Towards Prototype-Based Self-Explainable Graph Neural Network
Towards Prototype-Based Self-Explainable Graph Neural Network
Enyan Dai
Suhang Wang
73
13
0
05 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han
Tong Zhao
Yozen Liu
Helen Zhou
Neil Shah
GNN
142
39
0
30 Sep 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric
  Polynomials
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials
Xun Liu
Alex Hay-Man Ng
Fangyu Lei
Yikuan Zhang
Zhengmin Li
GNN
111
2
0
30 Sep 2022
Previous
123456...91011
Next