RHOG: A Refinement-Operator Library for Directed Labeled Graphs

Published 23 Apr 2016 in cs.AI | (1604.06954v2)

Abstract: This document provides the foundations behind the functionality provided by the $\rho$G library (https://github.com/santiontanon/RHOG), focusing on the basic operations the library provides: subsumption, refinement of directed labeled graphs, and distance/similarity assessment between directed labeled graphs. $\rho$G development was initially supported by the National Science Foundation, by the EAGER grant IIS-1551338.

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Authors (1)

Santiago Ontañón

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GitHub - santiontanon/RHOG: RHOG: A Refinement-Operator Library for Directed Labeled Graphs (4 stars)