RHOG: A Refinement-Operator Library for Directed Labeled Graphs

April 23, 2016 Β· Entered Twilight Β· πŸ› arXiv.org

πŸŒ… TWILIGHT: Old Age
Predates the code-sharing era β€” a pioneer of its time

"Last commit was 8.0 years ago (β‰₯5 year threshold)"

Evidence collected by the PWNC Scanner

Repo contents: .gitignore, LICENSE, README.md, data, lib, src

Authors Santiago Ontañón arXiv ID 1604.06954 Category cs.AI: Artificial Intelligence Citations 2 Venue arXiv.org Repository https://github.com/santiontanon/RHOG ⭐ 4 Last Checked 2 months ago
Abstract
This document provides the foundations behind the functionality provided by the $ρ$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. $ρ$G development was initially supported by the National Science Foundation, by the EAGER grant IIS-1551338.
Community shame:
Not yet rated
πŸ“„ View on arXiv 🌐 View on ar5iv πŸ“‘ PDF πŸ’» Repository πŸŽ‰ Report Code Found
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Artificial Intelligence