An Analysis on Graph-Processing Frameworks: Neo4j and Spark GraphX-Reference-Cited by-同舟云学术

An Analysis on Graph-Processing Frameworks: Neo4j and Spark GraphX

Published:2022 Issue: Volume: Page:461-470
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
language:
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Author:

Ali Alabbas Alhaj,Logofatu Doina

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08333-4_37

Reference45 articles.

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4. Corbellini, A., Godoy, D., Mateos, C., Schiaffino, S., Zunino, A.: An analysis of distributed programming models and frameworks for large-scale graph processing. IETE J. Res. 1–9 (2020). https://doi.org/10.1080/03772063.2020.1754139

5. Dean, J., Ghemawat, S.: Mapreduce: simplified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)

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