An Evaluation of Parallel Eccentricity Estimation Algorithms on Undirected Real-World Graphs-Reference-Cited by-同舟云学术

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An Evaluation of Parallel Eccentricity Estimation Algorithms on Undirected Real-World Graphs

Published:2015-08-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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Author:

Shun Julian¹

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2783258.2783333

Reference51 articles.

1. Fast Estimation of Diameter and Shortest Paths (Without Matrix Multiplication)

2. I/O-efficient approximation of graph diameters by parallel cluster growing — a first experimental study

3. I/O-efficient Hierarchical Diameter Approximation

4. Fast distributed computation of distances in networks

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2. Blaze: Fast Graph Processing on Fast SSDs;SC22: International Conference for High Performance Computing, Networking, Storage and Analysis;2022-11

3. Eccentricity queries and beyond using hub labels;Theoretical Computer Science;2022-09

4. On Scalable Computation of Graph Eccentricities;Proceedings of the 2022 International Conference on Management of Data;2022-06-10

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