Supporting Dynamic Graphs and Temporal Entity Deletions in the LDBC Social Network Benchmark's Data Generator-Reference-Cited by-同舟云学术

Supporting Dynamic Graphs and Temporal Entity Deletions in the LDBC Social Network Benchmark's Data Generator

Published:2020-06-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)
language:
Short-container-title:

Author:

Waudby Jack¹,Steer Benjamin A.²,Prat-Pérez Arnau³,Szárnyas Gábor⁴

Affiliation:

1. Newcastle University, School of Computing

2. Queen Mary University London

3. Sparsity Technologies, DAMA UPC

4. Budapest University of Technology and Economics, Dept. of Measurement and Information Systems

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3398682.3399165

Reference30 articles.

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2. Renzo Angles János Benjamin Antal Alex Averbuch Peter A. Boncz Orri Erling Andrey Gubichev Vlad Haprian Moritz Kaufmann Josep-Lluís Larriba-Pey Norbert Martínez-Bazan József Marton Marcus Paradies Minh-Duc Pham Arnau Prat-Pérez Mirko Spasic Benjamin A. Steer Gábor Szárnyas and Jack Waudby. 2020. The LDBC Social Network Benchmark. CoRR abs/2001.02299 (2020). http://arxiv.org/abs/2001.02299 Renzo Angles János Benjamin Antal Alex Averbuch Peter A. Boncz Orri Erling Andrey Gubichev Vlad Haprian Moritz Kaufmann Josep-Lluís Larriba-Pey Norbert Martínez-Bazan József Marton Marcus Paradies Minh-Duc Pham Arnau Prat-Pérez Mirko Spasic Benjamin A. Steer Gábor Szárnyas and Jack Waudby. 2020. The LDBC Social Network Benchmark. CoRR abs/2001.02299 (2020). http://arxiv.org/abs/2001.02299

3. Timothy G. Armstrong Vamsi Ponnekanti Dhruba Borthakur and Mark Callaghan. 2013. LinkBench: A database benchmark based on the Facebook social graph. In SIGMOD. 1185--1196. https://doi.org/10.1145/2463676.2465296 Timothy G. Armstrong Vamsi Ponnekanti Dhruba Borthakur and Mark Callaghan. 2013. LinkBench: A database benchmark based on the Facebook social graph. In SIGMOD. 1185--1196. https://doi.org/10.1145/2463676.2465296

4. Large scale graph processing systems: survey and an experimental evaluation

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