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Out-of-Core Edge Partitioning at Linear Run-Time

Out-of-Core Edge Partitioning at Linear Run-Time

IEEE International Conference on Data Engineering (ICDE), 2022
23 March 2022
R. Mayer
Kamil Orujzade
Hans-Arno Jacobsen
ArXiv (abs)PDFHTML

Papers citing "Out-of-Core Edge Partitioning at Linear Run-Time"

6 / 6 papers shown
Can Graph Reordering Speed Up Graph Neural Network Training? An
  Experimental Study
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental StudyProceedings of the VLDB Endowment (PVLDB), 2024
Nikolai Merkel
Pierre Toussing
R. Mayer
Hans-Arno Jacobsen
GNN
299
7
0
17 Sep 2024
SDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks
SDT-GNN: Streaming-based Distributed Training Framework for Graph Neural Networks
Xin Huang
Weipeng Zhuo
Minh Phu Vuong
Shiju Li
Jongryool Kim
Bradley Rees
Chul-Ho Lee
GNN
276
1
0
02 Apr 2024
Play like a Vertex: A Stackelberg Game Approach for Streaming Graph
  Partitioning
Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning
Zezhong Ding
Yongan Xiang
Shangyou Wang
Xike Xie
S. K. Zhou
234
9
0
28 Feb 2024
An Experimental Comparison of Partitioning Strategies for Distributed
  Graph Neural Network Training
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network TrainingInternational Conference on Extending Database Technology (EDBT), 2023
Nikolai Merkel
Daniel Stoll
R. Mayer
Hans-Arno Jacobsen
GNN
294
5
0
29 Aug 2023
The Evolution of Distributed Systems for Graph Neural Networks and their
  Origin in Graph Processing and Deep Learning: A Survey
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A SurveyACM Computing Surveys (ACM Comput. Surv.), 2023
Jana Vatter
R. Mayer
Hans-Arno Jacobsen
GNNAI4TSAI4CE
346
60
0
23 May 2023
Partitioner Selection with EASE to Optimize Distributed Graph Processing
Partitioner Selection with EASE to Optimize Distributed Graph ProcessingIEEE International Conference on Data Engineering (ICDE), 2023
Nikolai Merkel
R. Mayer
Tawkir Ahmed Fakir
Hans-Arno Jacobsen
218
5
0
11 Apr 2023
1
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