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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
Identifying Super Spreaders in Multilayer Networks
Identifying Super Spreaders in Multilayer Networks
Michał Czuba
Mateusz Stolarski
Adam Piróg
Piotr Bielak
Piotr Bródka
31
0
0
27 May 2025
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering
Xurong Liang
Tong Chen
Wei Yuan
Hongzhi Yin
22
0
0
25 May 2025
Finding Counterfactual Evidences for Node Classification
Finding Counterfactual Evidences for Node Classification
Dazhuo Qiu
Jinwen Chen
Arijit Khan
Yan Zhao
Francesco Bonchi
CML
67
0
0
16 May 2025
Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction
Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction
Yanbin Wei
Xuehao Wang
Zhan Zhuang
Yang Chen
Shuhao Chen
Yulong Zhang
Yu Zhang
James T. Kwok
81
1
0
13 May 2025
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training
Plexus: Taming Billion-edge Graphs with 3D Parallel GNN Training
Aditya K. Ranjan
Siddharth Singh
Cunyang Wei
A. Bhatele
GNN
109
0
0
07 May 2025
Wide & Deep Learning for Node Classification
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
112
0
0
04 May 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
Vignesh Balaji
Christos Kozyrakis
Gal Chechik
Haggai Maron
GNN
78
1
0
25 Apr 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
Xiang Li
Haobing Liu
Jianpeng Qi
Yuan Cao
Guoqing Chao
Yanwei Yu
Junyu Dong
Yanwei Yu
GNN
106
0
0
22 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs
Zichao Yue
Chenhui Deng
Zhiru Zhang
AI4CE
77
0
0
17 Apr 2025
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation
Aoran Liu
Kun Hu
Clinton Mo
Cuiping Li
Zhiyong Wang
3DHAI4CE
76
0
0
16 Apr 2025
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks
FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks
Or Feldman
Krishna Sri Ipsit Mantri
Carola-Bibiane Schönlieb
Chaim Baskin
Moshe Eliasof
AI4TS
47
0
0
09 Apr 2025
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
Eduard Tulchinskii
Daria Voronkova
I. Trofimov
Evgeny Burnaev
Serguei Barannikov
418
0
0
14 Mar 2025
Hierarchical graph sampling based minibatch learning with chain preservation and variance reduction
Hierarchical graph sampling based minibatch learning with chain preservation and variance reduction
Qia Hu
Bo Jiao
70
0
0
02 Mar 2025
WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks
WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks
Jana Vatter
Mykhaylo Zayats
Marcos Martínez Galindo
V. López
R. Mayer
Hans-Arno Jacobsen
Hoang Thanh Lam
GNN
84
0
0
27 Feb 2025
Accurate and Scalable Graph Neural Networks via Message Invariance
Accurate and Scalable Graph Neural Networks via Message Invariance
Zhihao Shi
Jie Wang
Zhiwei Zhuang
Xize Liang
Bin Li
Feng Wu
139
1
0
27 Feb 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Yansen Wang
Xinnan Dai
Wenqi Fan
Yao Ma
144
2
0
26 Feb 2025
GiGL: Large-Scale Graph Neural Networks at Snapchat
GiGL: Large-Scale Graph Neural Networks at Snapchat
Tong Zhao
Yozen Liu
Matthew Kolodner
Kyle Montemayor
Elham Ghazizadeh
...
Serim Park
Peicheng Yu
Jun Yu
Shubham Vij
Neil Shah
GNN
107
1
0
20 Feb 2025
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
Ugochukwu Orji
Çiçek Güven
Dan Stowell
AI4TS
64
0
0
12 Feb 2025
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
AGNNCert: Defending Graph Neural Networks against Arbitrary Perturbations with Deterministic Certification
Jiate Li
Binghui Wang
AAML
121
2
0
02 Feb 2025
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
Xiang Wu
Miao Hu
Rong-Hua Li
Kangfei Zhao
Guoren Wang
AI4TSAI4CE
143
0
0
27 Jan 2025
Personalized Layer Selection for Graph Neural Networks
Personalized Layer Selection for Graph Neural Networks
Kartik Sharma
Vineeth Rakesh Mohan
Yingtong Dou
Srijan Kumar
Mahashweta Das
130
0
0
24 Jan 2025
SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection
SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection
Wei Wei
Zhuangzhuang Ye
GuoPing Zhao
Jianing Wang
Xiaohong Su
57
0
0
21 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach
Miao Hu
Bowen Fan
Zhengyu Wu
Zhiyu Li
Rong-Hua Li
Guoren Wang
MU
86
1
0
21 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
Haipeng Ding
Zhewei Wei
Yuhang Ye
102
0
0
08 Jan 2025
OpenGU: A Comprehensive Benchmark for Graph Unlearning
OpenGU: A Comprehensive Benchmark for Graph Unlearning
Bowen Fan
Yuming Ai
Miao Hu
Zhilin Guo
Rong-Hua Li
Guoren Wang
MU
114
2
0
06 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective
Graph Triple Attention Network: A Decoupled Perspective
Xiaotang Wang
Yun Zhu
Haizhou Shi
Yongchao Liu
Chuntao Hong
198
3
0
03 Jan 2025
Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph
  Convolution Network for sEEG SOZ Identification
Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network for sEEG SOZ Identification
Huachao Yan
K. Guo
Shiwei Song
Yihai Dai
Xiaoqiang Wei
Xiaofen Xing
Xiangmin Xu
115
1
0
17 Dec 2024
A Decade of Deep Learning: A Survey on The Magnificent Seven
A Decade of Deep Learning: A Survey on The Magnificent Seven
Dilshod Azizov
Muhammad Arslan Manzoor
Velibor Bojkovic
Yingxu Wang
Ziyi Wang
...
Liang Li
Siwei Liu
Yu Zhong
Wei Liu
Shangsong Liang
OODAI4TSMedIm
175
0
0
13 Dec 2024
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction
João Mattos
Zexi Huang
Mert Kosan
Ambuj Singh
A. Silva
158
1
0
29 Nov 2024
Spatio-temporal Causal Learning for Streamflow Forecasting
Spatio-temporal Causal Learning for Streamflow Forecasting
Shu Wan
Reepal Shah
Qi Deng
John Sabo
Huan Liu
K. Selçuk
AI4TS
105
1
0
26 Nov 2024
Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with
  Graph Neural Networks
Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks
Nikhil Garuda
John F. Wu
Dylan Nelson
Annalisa Pillepich
79
0
0
19 Nov 2024
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks
Jhony H. Giraldo
Aref Einizade
Andjela Todorovic
Jhon A. Castro-Correa
Mohsen Badiey
T. Bouwmans
Fragkiskos D. Malliaros
66
1
0
07 Nov 2024
Normalized Space Alignment: A Versatile Metric for Representation
  Analysis
Normalized Space Alignment: A Versatile Metric for Representation Analysis
Danish Ebadulla
Aditya Gulati
Ambuj Singh
417
0
0
07 Nov 2024
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation
Shan Zhao
Zhaiyu Chen
Zhitong Xiong
Yilei Shi
Sudipan Saha
Xiao Xiang Zhu
AI4CE
86
5
0
05 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
Yahel Jacobs
Reut Dayan
Uri Shaham
229
0
0
03 Nov 2024
An unified approach to link prediction in collaboration networks
An unified approach to link prediction in collaboration networks
Juan Sosa
Diego Martínez
Nicolás Guerrero
56
0
0
01 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
204
4
0
28 Oct 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection:
  Limitations and a Simple Remedy
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
Sunwoo Kim
Soo Yong Lee
Fanchen Bu
Shinhwan Kang
Kyungho Kim
Jaemin Yoo
Kijung Shin
59
2
0
27 Oct 2024
Sparse Decomposition of Graph Neural Networks
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
Pavel Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
207
0
0
25 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks
Focus Where It Matters: Graph Selective State Focused Attention Networks
Shikhar Vashistha
Neetesh Kumar
64
0
0
21 Oct 2024
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced
  Classification
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification
Bishal Thapaliya
Anh Nguyen
Yao Lu
Tian Xie
Igor Grudetskyi
Fudong Lin
Antonios Valkanas
Jingyu Liu
Deepayan Chakraborty
Bilel Fehri
59
2
0
15 Oct 2024
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
Shengwei Ji
Yujie Tian
Fei Liu
Xinlu Li
Le Wu
GNN
75
0
0
14 Oct 2024
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
Yun Zhu
Haizhou Shi
Xiaotang Wang
Yongchao Liu
Yaoke Wang
Boci Peng
Chuntao Hong
Siliang Tang
VLM
181
15
0
14 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal
  Hyperparameter Tuning
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
99
0
0
08 Oct 2024
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Rui Xue
Tong Zhao
Neil Shah
Xiaorui Liu
GNN
70
1
0
07 Oct 2024
PROXI: Challenging the GNNs for Link Prediction
PROXI: Challenging the GNNs for Link Prediction
Astrit Tola
Jack Myrick
Baris Coskunuzer
90
0
0
02 Oct 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural
  Networks
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
Mitchell Keren Taraday
Almog David
Chaim Baskin
70
1
0
28 Sep 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN
  Training at Large Scale
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale
Zeyu Zhu
Peisong Wang
Qinghao Hu
Gang Li
Xiaoyao Liang
Jian Cheng
GNN
65
2
0
23 Sep 2024
Federated Graph Learning with Adaptive Importance-based Sampling
Federated Graph Learning with Adaptive Importance-based Sampling
Anran Li
Yuanyuan Chen
Chao Ren
Wenhan Wang
Ming Hu
Tianlin Li
Han Yu
Qingyu Chen
FedML
56
0
0
23 Sep 2024
Can Graph Reordering Speed Up Graph Neural Network Training? An
  Experimental Study
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study
Nikolai Merkel
Pierre Toussing
R. Mayer
Hans-Arno Jacobsen
GNN
117
3
0
17 Sep 2024
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