Random Graph Generation in Context-Free Graph Languages

We present a method for generating random hypergraphs in context-free hypergraph languages. It is obtained by adapting Mairson's generation algorithm for context-free string grammars to the setting of hyperedge replacement grammars. Our main results are that for non-ambiguous hyperedge replacement grammars, the method generates hypergraphs uniformly at random and in quadratic time. We illustrate our approach by a running example of a hyperedge replacement grammar generating term graphs.

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Publication Details

Journal
Electronic Proceedings in Theoretical Computer Science
Published
2024-09-28
DOI
https://doi.org/10.4204/eptcs.408.7
Primary Topic
Machine Learning and Algorithms
Type
article
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article

Random Graph Generation in Context-Free Graph Languages

Detlef Plump, Federico Vastarini
Electronic Proceedings in Theoretical Computer Science
Machine Learning and Algorithms
article

Random Graph Generation in Context-Free Graph Languages

Detlef Plump, Federico Vastarini
article en

Abstract

We present a method for generating random hypergraphs in context-free hypergraph languages. It is obtained by adapting Mairson's generation algorithm for context-free string grammars to the setting of hyperedge replacement grammars. Our main results are that for non-ambiguous hyperedge replacement grammars, the method generates hypergraphs uniformly at random and in quadratic time. We illustrate our approach by a running example of a hyperedge replacement grammar generating term graphs.

Electronic Proceedings in Theoretical Computer ScienceVol. 408
University of York (GB)
Openalex Percentile: Top 86%
Machine Learning and Algorithms
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