Label Propagation-Based Parallel Graph Partitioning for Large-Scale Graph Data

Label Propagation-Based Parallel Graph Partitioning for Large-Scale Graph Data

The increasing importance of graph data in various fields requires large-scale graph data to be processed efficiently. Furthermore, well-balanced graph partitioning is a vital component of parallel/distributed graph processing. The goal of graph partitioning is to obtain a well-balanced graph topolo...

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Bibliographic Details
Main Authors: Minho Bae, Minjoong Jeong, Sangyoon Oh
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Data processing
graph data
parallel processing
partitioning algorithms
Online Access:https://ieeexplore.ieee.org/document/9064577/

Internet

https://ieeexplore.ieee.org/document/9064577/

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