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Layer-Dependent Importance Sampling for Training Deep and Large Graph
  Convolutional Networks

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks

17 November 2019
Difan Zou
Ziniu Hu
Yewen Wang
Song Jiang
Yizhou Sun
Quanquan Gu
    GNN
ArXivPDFHTML

Papers citing "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"

50 / 167 papers shown
Title
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
53
0
0
07 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
41
0
0
25 Apr 2025
Scaling Graph Neural Networks for Particle Track Reconstruction
Scaling Graph Neural Networks for Particle Track Reconstruction
Alok Tripathy
A. Lazar
X. Ju
P. Calafiura
Katherine Yelick
A. Buluç
38
0
0
07 Apr 2025
Enhanced Soups for Graph Neural Networks
Joseph Zuber
Aishwarya Sarkar
Joseph Jennings
Ali Jannesari
47
0
0
14 Mar 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
54
1
0
27 Feb 2025
FIT-GNN: Faster Inference Time for GNNs Using Coarsening
FIT-GNN: Faster Inference Time for GNNs Using Coarsening
Shubhajit Roy
Hrriday Ruparel
Kishan Ved
Anirban Dasgupta
GNN
AI4CE
72
0
0
28 Jan 2025
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
Xiang Wu
Xunkai Li
Rong-Hua Li
Kangfei Zhao
Guoren Wang
AI4TS
AI4CE
59
0
0
27 Jan 2025
Graph Neural Networks on Graph Databases
Dmytro Lopushanskyy
Borun Shi
GNN
81
0
0
18 Nov 2024
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph
  Representation Learning
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning
Ao Liu
Jing Chen
Ruiying Du
Yanwei Yue
Yebo Feng
Teng Li
Jianfeng Ma
47
1
0
11 Nov 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
34
0
0
25 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
42
0
0
14 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
37
1
0
07 Oct 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
34
1
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
21
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
43
1
0
17 Sep 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
66
2
0
17 Aug 2024
Non-convolutional Graph Neural Networks
Non-convolutional Graph Neural Networks
Yuanqing Wang
N. Scherer-Negenborn
GNN
37
3
0
31 Jul 2024
GraphMuse: A Library for Symbolic Music Graph Processing
GraphMuse: A Library for Symbolic Music Graph Processing
E. Karystinaios
Gerhard Widmer
39
1
0
17 Jul 2024
Foundations and Frontiers of Graph Learning Theory
Foundations and Frontiers of Graph Learning Theory
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CE
GNN
55
2
0
03 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
60
16
0
27 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
31
21
0
21 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
50
1
0
17 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations
Scalable Expressiveness through Preprocessed Graph Perturbations
Danial Saber
Amirali Salehi-Abari
32
1
0
17 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
31
0
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
41
1
0
01 Jun 2024
GATE: How to Keep Out Intrusive Neighbors
GATE: How to Keep Out Intrusive Neighbors
Nimrah Mustafa
R. Burkholz
47
0
0
01 Jun 2024
Perception-Inspired Graph Convolution for Music Understanding Tasks
Perception-Inspired Graph Convolution for Music Understanding Tasks
E. Karystinaios
Francesco Foscarin
Gerhard Widmer
39
0
0
15 May 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN
  Training
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
Renjie Liu
Yichuan Wang
Xiao Yan
Zhenkun Cai
Minjie Wang
Haitian Jiang
Bo Tang
Jinyang Li
GNN
47
2
0
08 May 2024
Acceleration Algorithms in GNNs: A Survey
Acceleration Algorithms in GNNs: A Survey
Lu Ma
Zeang Sheng
Xunkai Li
Xin Gao
Zhezheng Hao
Ling Yang
Wentao Zhang
Bin Cui
GNN
47
3
0
07 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
37
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-Wei Zhang
48
3
0
28 Apr 2024
Graph Regularized Encoder Training for Extreme Classification
Graph Regularized Encoder Training for Extreme Classification
Anshul Mittal
Shikhar Mohan
Deepak Saini
Suchith C. Prabhu
Jain jiao
...
Manik Varma
Sumeet Agarwal
Soumen Chakrabarti
Purushottam Kar
Manik Varma
GNN
46
0
0
28 Feb 2024
Linear-Time Graph Neural Networks for Scalable Recommendations
Linear-Time Graph Neural Networks for Scalable Recommendations
Jiahao Zhang
Rui Xue
Wenqi Fan
Xin Xu
Qing Li
Jian Pei
Xiaorui Liu
AI4CE
40
25
0
21 Feb 2024
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale
  Graph
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph
Linfeng Cao
Haoran Deng
Yang Yang
Chunping Wang
Lei Chen
31
9
0
14 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning
Rethinking Node-wise Propagation for Large-scale Graph Learning
Xunkai Li
Jingyuan Ma
Zhengyu Wu
Daohan Su
Wentao Zhang
Ronghua Li
Guoren Wang
AI4CE
36
12
0
09 Feb 2024
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph
  Representation Learning
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning
Gangda Deng
Hongkuan Zhou
Hanqing Zeng
Yinglong Xia
Christopher Leung
Jianbo Li
Rajgopal Kannan
Viktor Prasanna
37
1
0
08 Feb 2024
L2G2G: a Scalable Local-to-Global Network Embedding with Graph
  Autoencoders
L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders
Ruikang Ouyang
Andrew Elliott
Stratis Limnios
Mihai Cucuringu
Gesine Reinert
GNN
19
2
0
02 Feb 2024
StructComp: Substituting Propagation with Structural Compression in
  Training Graph Contrastive Learning
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning
Shengzhong Zhang
Wenjie Yang
Xinyuan Cao
Hongwei Zhang
Zengfeng Huang
29
2
0
08 Dec 2023
FastSample: Accelerating Distributed Graph Neural Network Training for
  Billion-Scale Graphs
FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs
Hesham Mostafa
Adam Grabowski
Md Asadullah Turja
J. Cerviño
Alejandro Ribeiro
N. Himayat
GNN
36
1
0
29 Nov 2023
Distributed Matrix-Based Sampling for Graph Neural Network Training
Distributed Matrix-Based Sampling for Graph Neural Network Training
Alok Tripathy
Katherine Yelick
A. Buluç
21
3
0
06 Nov 2023
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt
Mouxiang Chen
Zemin Liu
Chenghao Liu
Jundong Li
Qiheng Mao
Jianling Sun
AAML
30
12
0
23 Oct 2023
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
Haitian Jiang
Renjie Liu
Xiao Yan
Zhenkun Cai
Minjie Wang
David Wipf
Minjie Wang
David Wipf
GNN
AI4CE
21
3
0
19 Oct 2023
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive
  Propagation
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
Xin Gao
Wentao Zhang
Junliang Yu
Yingxiao Shao
Quoc Viet Hung Nguyen
Bin Cui
Hongzhi Yin
AI4CE
GNN
40
9
0
17 Oct 2023
Are GATs Out of Balance?
Are GATs Out of Balance?
Nimrah Mustafa
Aleksandar Bojchevski
R. Burkholz
53
4
0
11 Oct 2023
Data-centric Graph Learning: A Survey
Data-centric Graph Learning: A Survey
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
35
19
0
08 Oct 2023
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks
Taraneh Younesian
Daniel Daza
Emile van Krieken
Thiviyan Thanapalasingam
Peter Bloem
16
4
0
05 Oct 2023
Probabilistic Sampling-Enhanced Temporal-Spatial GCN: A Scalable
  Framework for Transaction Anomaly Detection in Ethereum Networks
Probabilistic Sampling-Enhanced Temporal-Spatial GCN: A Scalable Framework for Transaction Anomaly Detection in Ethereum Networks
Stefan Kambiz Behfar
Jon Crowcroft
AI4TS
21
0
0
29 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale
  Attributed Graphs against Learning Bias
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
Zhihao Shi
Jie Wang
Fanghua Lu
Hanzhu Chen
Defu Lian
Zheng Wang
Jieping Ye
Feng Wu
AI4CE
32
6
0
26 Sep 2023
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using
  Graph Partitioning by Chunks
DGC: Training Dynamic Graphs with Spatio-Temporal Non-Uniformity using Graph Partitioning by Chunks
Fahao Chen
Peng Li
Celimuge Wu
GNN
29
3
0
07 Sep 2023
Impression-Informed Multi-Behavior Recommender System: A Hierarchical
  Graph Attention Approach
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach
Dong Li
Divya Bhargavi
V. Ravipati
25
5
0
06 Sep 2023
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