Graph Analytics Libraries Comparison
Author(s)
Hui, Yili
Advisor(s)
Chau, Polo
Editor(s)
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Abstract
In this undergraduate research capstone project, we compare three popular graph analytics libraries, igraph, NetworkX and SNAP, by using four large real-world graphs with up to 69 million edges. We then examine the runtimes of three graph generation methods and five graph algorithms. All experiments were run on Partnership for an Advanced Computing Environment (PACE) servers at Georgia Tech.
Sponsor
Date
2019-05
Extent
Resource Type
Text
Resource Subtype
Undergraduate Thesis