FLApr 21

On Languages Describing Large Graph Classes

arXiv:2604.1971927.6
Predicted impact top 20% in FL · last 90 daysOriginality Incremental advance
AI Analysis

This work provides a novel theoretical framework for graph representation, relevant to researchers in graph theory and formal languages, but the results are foundational rather than immediately applicable.

The paper introduces a new formalism for representing graph classes using formal binary languages, where words define edge patterns. It shows that languages like palindromes, copy-words, Lyndon words, and Dyck words can represent all graphs or specific graph classes, enabling new structural characterizations.

In this work, we introduce a new notion for representing graph classes with formal languages. In contrast to the seminal work by Kitaev and Pyatkin to represent graphs by words, we use formal binary languages in order to have a set of patterns (given by the languages' words) defining the edges in the graph. In particular, we investigate famous languages like the palindromes, copy-words, Lyndon words, and Dyck words to represent all graphs or specific graph classes by restricting these languages.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes