A Sampling-Based Tool for Scaling Graph Datasets-Reference-Cited by-同舟云学术

A Sampling-Based Tool for Scaling Graph Datasets

Published:2020-04-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM/SPEC International Conference on Performance Engineering
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Author:

Musaafir Ahmed¹,Uta Alexandru¹,Dreuning Henk²,Varbanescu Ana-Lucia²

Affiliation:

1. Vrije Universiteit Amsterdam, Amsterdam, Netherlands

2. University of Amsterdam, Amsterdam, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3358960.3379144

Reference30 articles.

1. Nesreen Ahmed Jennifer Neville and Ramana Rao Kompella. 2011. Network sampling via edge-based node selection with graph induction. (2011). Nesreen Ahmed Jennifer Neville and Ramana Rao Kompella. 2011. Network sampling via edge-based node selection with graph induction. (2011).

2. Mohammad Al Hasan. 2016. Methods and applications of network sampling. In Optimization Challenges in Complex Networked and Risky Systems. INFORMS 115--139. Mohammad Al Hasan. 2016. Methods and applications of network sampling. In Optimization Challenges in Complex Networked and Risky Systems. INFORMS 115--139.

3. Neli Blagus Lovro vS ubelj and Marko Bajec. 2014. Assessing the effectiveness of real-world network simplification. Physica A: Statistical Mechanics and its Applications Vol. 413 (2014) 134--146. Neli Blagus Lovro vS ubelj and Marko Bajec. 2014. Assessing the effectiveness of real-world network simplification. Physica A: Statistical Mechanics and its Applications Vol. 413 (2014) 134--146.

4. R-MAT: A Recursive Model for Graph Mining

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