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FlexGraph: Flexible partitioning and storage for scalable graph mining

How can we analyze large graphs such as the Web, and social networks with hundreds of billions of vertices and edges? Although many graph mining systems have been proposed to perform various graph mining algorithms on such large graphs, they have difficulties in processing Web-scale graphs due to ma...

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Библиографические подробности
Опубликовано в: :PLoS One
Главные авторы: Park, Chiwan, Park, Ha-Myung, Kang, U.
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2020
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6980573/
https://ncbi.nlm.nih.gov/pubmed/31978075
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0227032
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