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      RHOG: A Refinement-Operator Library for Directed Labeled Graphs

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          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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          Journal
          2016-04-23
          Article
          1604.06954
          41e8f85f-e7a7-48c3-b3b1-ae4bc1075705

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          Custom metadata
          Report of the theory behind the RHOG library developed under NSF EAGER grant IIS-1551338
          cs.AI

          Artificial intelligence
          Artificial intelligence

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