Graph Computing Systems and Partitioning Techniques: A Survey

<h3>Abstract</h3><p dir="ltr">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 applicat...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Tewodros Alemu Ayall (19273717) (author)
مؤلفون آخرون:	Huawen Liu (840748) (author), Changjun Zhou (451444) (author), Abegaz Mohammed Seid (19170901) (author), Fantahun Bogale Gereme (19517581) (author), Hayla Nahom Abishu (19517584) (author), Yasin Habtamu Yacob (19517587) (author)
منشور في:	2022
الموضوعات:	Information and computing sciences Computer vision and multimedia computation Data management and data science Distributed computing graph computing systems graph partitioning graph processing systems graph databases graph algorithm large-scale graph analysis Partitioning algorithms Computational modeling Global Positioning System Classification algorithms Social networking (online) Heuristic algorithms Data models Graph theory
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Graph Computing Systems and Partitioning Techniques: A Survey

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