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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
An Efficient Privacy-aware Split Learning Framework for Satellite
  Communications
An Efficient Privacy-aware Split Learning Framework for Satellite Communications
Jianfei Sun
Cong Wu
Shahid Mumtaz
Junyi Tao
Mingsheng Cao
Mei Wang
Valerio Frascolla
79
5
0
13 Sep 2024
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks
Rustam Guliyev
Aparajita Haldar
Hakan Ferhatosmanoglu
GNN
82
1
0
10 Sep 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with
  LLM Token Embeddings
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
Duo Wang
Yuan Zuo
Fengzhi Li
Junjie Wu
73
19
0
25 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Lu Yi
Zhewei Wei
MU
135
0
0
17 Aug 2024
A Versatile Framework for Attributed Network Clustering via K-Nearest
  Neighbor Augmentation
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation
Yiran Li
Gongyao Guo
Jieming Shi
Renchi Yang
Shiqi Shen
Qing Li
Jun Luo
69
3
0
10 Aug 2024
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph
  Learning
Node Level Graph Autoencoder: Unified Pretraining for Textual Graph Learning
Wenbin Hu
Huihao Jing
Qi Hu
Haoran Li
Yangqiu Song
SSLAI4CE
91
0
0
09 Aug 2024
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph
  Neural Network Training with Communication Reduction
CDFGNN: a Systematic Design of Cache-based Distributed Full-Batch Graph Neural Network Training with Communication Reduction
Shuai Zhang
Zite Jiang
Haihang You
GNN
77
1
0
01 Aug 2024
Non-convolutional Graph Neural Networks
Non-convolutional Graph Neural Networks
Yuanqing Wang
N. Scherer-Negenborn
GNN
96
5
0
31 Jul 2024
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient
  Multiplex Network
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network
Sukwon Yun
Jie Peng
Alexandro E. Trevino
Chanyoung Park
Tianlong Chen
70
2
0
25 Jul 2024
Pre-Training and Prompting for Few-Shot Node Classification on
  Text-Attributed Graphs
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs
Huan-jing Zhao
Beining Yang
Yukuo Cen
Junyu Ren
Chenhui Zhang
Yuxiao Dong
Evgeny Kharlamov
Shu Zhao
Jie Tang
VLM
94
8
0
22 Jul 2024
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing
  Data Transfer Scheme
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme
Jeongmin Brian Park
Kun Wu
Vikram Sharma Mailthody
Zaid Quresh
Scott Mahlke
Wen-mei W. Hwu
GNN
111
0
0
21 Jul 2024
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained
  LLMs
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs
Aaron Zolnai-Lucas
Jack Boylan
Chris Hokamp
Parsa Ghaffari
134
3
0
10 Jul 2024
Generalizing Graph Transformers Across Diverse Graphs and Tasks via
  Pre-Training on Industrial-Scale Data
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data
Yufei He
Zhenyu Hou
Yukuo Cen
Feng He
Xu Cheng
Bryan Hooi
AI4CE
69
4
0
04 Jul 2024
Efficient Long-distance Latent Relation-aware Graph Neural Network for
  Multi-modal Emotion Recognition in Conversations
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations
Yuntao Shou
Wei Ai
JiaYi Du
Tao Meng
Haiyan Liu
Nan Yin
130
19
0
27 Jun 2024
Next Level Message-Passing with Hierarchical Support Graphs
Next Level Message-Passing with Hierarchical Support Graphs
Carlos Vonessen
Florian Grötschla
Roger Wattenhofer
94
2
0
22 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training
  Complexity
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
Mucong Ding
Tahseen Rabbani
Bang An
Evan Z Wang
Furong Huang
89
22
0
21 Jun 2024
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for
  Multivariate Time Series Forecasting
SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting
Yue Jiang
Xiucheng Li
Yile Chen
Shuai Liu
Weilong Kong
Antonis F. Lentzakis
Gao Cong
AI4TSAI4CE
59
4
0
18 Jun 2024
A Scalable and Effective Alternative to Graph Transformers
A Scalable and Effective Alternative to Graph Transformers
Kaan Sancak
Zhigang Hua
Jin Fang
Yan Xie
Andrey Malevich
Bo Long
M. F. Balin
Ümit V. Çatalyürek
90
1
0
17 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations
Scalable Expressiveness through Preprocessed Graph Perturbations
Danial Saber
Amirali Salehi-Abari
78
1
0
17 Jun 2024
On the Feasibility of Fidelity$^-$ for Graph Pruning
On the Feasibility of Fidelity−^-− for Graph Pruning
Yong-Min Shin
Won-Yong Shin
64
0
0
17 Jun 2024
GraphFM: A Comprehensive Benchmark for Graph Foundation Model
GraphFM: A Comprehensive Benchmark for Graph Foundation Model
Yuhao Xu
Xinqi Liu
Keyu Duan
Yi Fang
Yu-Neng Chuang
Daochen Zha
Qiaoyu Tan
AI4CE
57
1
0
12 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural
  Networks
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks
Dongrui Fan
Xiaoyang Lin
Renchi Yang
Hongtao Wang
128
2
0
08 Jun 2024
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning
  Subgraph Training
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
Xizhi Gu
Hongzheng Li
Shihong Gao
Xinyan Zhang
Lei Chen
Yingxia Shao
GNN
51
0
0
07 Jun 2024
PANDORA: Deep graph learning based COVID-19 infection risk level
  forecasting
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting
Shuo Yu
Xiwei Xu
Yueru Wang
Shihao Li
F. Febrinanto
Madhu Chetty
51
2
0
07 Jun 2024
Graph Neural Network Training Systems: A Performance Comparison of
  Full-Graph and Mini-Batch
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch
Saurabh Bajaj
Hui Guan
Marco Serafini
GNN
94
3
0
01 Jun 2024
Learning on Large Graphs using Intersecting Communities
Learning on Large Graphs using Intersecting Communities
Ben Finkelshtein
.Ismail .Ilkan Ceylan
Michael M. Bronstein
Ron Levie
GNN
79
6
0
31 May 2024
Calibrated Dataset Condensation for Faster Hyperparameter Search
Calibrated Dataset Condensation for Faster Hyperparameter Search
Mucong Ding
Yuancheng Xu
Tahseen Rabbani
Xiaoyu Liu
Brian J Gravelle
Teresa M. Ranadive
Tai-Ching Tuan
Furong Huang
DD
77
0
0
27 May 2024
Spectral Greedy Coresets for Graph Neural Networks
Spectral Greedy Coresets for Graph Neural Networks
Mucong Ding
Yinhan He
Jundong Li
Furong Huang
89
3
0
27 May 2024
Graph Neural Networks on Quantum Computers
Graph Neural Networks on Quantum Computers
Yidong Liao
Xiao-Ming Zhang
Chris Ferrie
GNN
76
5
0
27 May 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rui Miao
Kaixiong Zhou
Yili Wang
Ninghao Liu
Ying Wang
Xin Wang
104
5
0
24 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
Siddhartha Shankar Das
S. Ferdous
M. Halappanavar
Edoardo Serra
A. Pothen
91
2
0
24 May 2024
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
Shuai Wang
David W. Zhang
Jia-Hong Huang
Stevan Rudinac
Monika Kackovic
Nachoem Wijnberg
Marcel Worring
60
1
0
22 May 2024
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks
QingGuo Qi
Hongyang Chen
Minhao Cheng
Han Liu
72
0
0
11 May 2024
Acceleration Algorithms in GNNs: A Survey
Acceleration Algorithms in GNNs: A Survey
Lu Ma
Zeang Sheng
Miao Hu
Xin Gao
Zhezheng Hao
Ling Yang
Wentao Zhang
Tengjiao Wang
GNN
128
0
0
07 May 2024
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised
  Classification
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification
Xin Zhang
Daochen Zha
Qiaoyu Tan
103
1
0
06 May 2024
Learning label-label correlations in Extreme Multi-label Classification
  via Label Features
Learning label-label correlations in Extreme Multi-label Classification via Label Features
Siddhant Kharbanda
Devaansh Gupta
Erik Schultheis
Atmadeep Banerjee
Cho-Jui Hsieh
Rohit Babbar
55
4
0
03 May 2024
Training-free Graph Neural Networks and the Power of Labels as Features
Training-free Graph Neural Networks and the Power of Labels as Features
Ryoma Sato
102
4
0
30 Apr 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive
  Modeling on Relational DBs
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
Minjie Wang
Quan Gan
David Wipf
Zhenkun Cai
Ning Li
...
Chuan Lei
Mu-Nan Zhang
Weinan Zhang
Christos Faloutsos
Zheng Zhang
71
4
0
28 Apr 2024
Revisiting Multi-modal Emotion Learning with Broad State Space Models
  and Probability-guidance Fusion
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion
Yuntao Shou
Tao Meng
Fuchen Zhang
Nan Yin
Keqin Li
Mamba
84
23
0
27 Apr 2024
Graph Convolutional Network For Semi-supervised Node Classification With
  Subgraph Sketching
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
Zibin Huang
Jun Xian
GNN
85
0
0
19 Apr 2024
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph
  Neural Networks
CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks
Xin Huang
Weipeng Zhuo
Minh Phu Vuong
Shiju Li
Jongryool Kim
Bradley Rees
Chul-Ho Lee
GNN
59
0
0
02 Apr 2024
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded
  Graph Neural Networks
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks
Yongyi Yang
Jiaming Yang
Wei Hu
Michal Dereziñski
90
0
0
26 Mar 2024
A Unified CPU-GPU Protocol for GNN Training
A Unified CPU-GPU Protocol for GNN Training
Yi-Chien Lin
Gangda Deng
Viktor Prasanna
GNN3DH
52
2
0
25 Mar 2024
Simple Graph Condensation
Simple Graph Condensation
Zhenbang Xiao
Yu Wang
Shunyu Liu
Huiqiong Wang
Mingli Song
Tongya Zheng
DD
145
8
0
22 Mar 2024
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural
  Network
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network
Ningyi Liao
Zihao Yu
Siqiang Luo
GNN
58
0
0
20 Mar 2024
Marlin: Knowledge-Driven Analysis of Provenance Graphs for Efficient and
  Robust Detection of Cyber Attacks
Marlin: Knowledge-Driven Analysis of Provenance Graphs for Efficient and Robust Detection of Cyber Attacks
Zhenyuan Li
Yangyang Wei
Xiangmin Shen
Lingzhi Wang
Yan Chen
...
Fan Zhang
Liang Hou
Wenmao Liu
Xuhong Zhang
Jianwei Ying
28
1
0
19 Mar 2024
Generation is better than Modification: Combating High Class Homophily
  Variance in Graph Anomaly Detection
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection
Rui Zhang
Dawei Cheng
Xin Liu
Jie Yang
Ouyang Yi
Xian Wu
Yefeng Zheng
65
3
0
15 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure
  Reconstruction
Graph Data Condensation via Self-expressive Graph Structure Reconstruction
Zhanyu Liu
Chaolv Zeng
Guanjie Zheng
DD
133
13
0
12 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge
  Distillation Framework
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework
Junxian Li
Bin Shi
Erfei Cui
Hua Wei
Qinghua Zheng
92
0
0
02 Mar 2024
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph
  Neural Networks
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks
Yifan Duan
Guibin Zhang
Shilong Wang
Xiaojiang Peng
Ziqi Wang
Junyuan Mao
Hao Wu
Xinke Jiang
Kun Wang
65
9
0
22 Feb 2024
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