Graph Computing Systems and Partitioning Techniques: A Survey

Graph Computing Systems and Partitioning Techniques: A Survey

Graphs are a tremendously suitable data representations that model the relationships of entities in many application domains, such as recommendation systems, machine learning, computational biology, social network analysis, and other application domains. Graphs with many vertices and edges have beco...

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Bibliographic Details
Main Authors: Tewodros Alemu Ayall, Huawen Liu, Changjun Zhou, Abegaz Mohammed Seid, Fantahun Bogale Gereme, Hayla Nahom Abishu, Yasin Habtamu Yacob
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Distributed computing
graph computing systems
graph partitioning
graph processing systems
graph databases
graph algorithm
Online Access:https://ieeexplore.ieee.org/document/9938438/

Internet

https://ieeexplore.ieee.org/document/9938438/

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