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math.CO2025

Efficient k-mer Dataset Compression Using Eulerian Covers of de Bruijn Graphs and BWT

H. Z. Q. Chen, S. Kitaev, X. Lang +2

Transforming an input sequence into its constituent k-mers is a fundamental operation in computational genomics. To reduce storage costs associated with k-mer datasets, we introduc…

math.CO2025

On the representation number of grid graphs and cylindric grid graphs

Nawaf Shafi Alshammari, Sergey Kitaev, Artem Pyatkin

The representation number of a graph is the minimum number of copies of each vertex required to represent the graph as a word, such that the letters corresponding to vertices a…

math.CO2024

A note on semi-transitivity of Mycielski graphs

Sergey Kitaev, Artem Pyatkin

An orientation of a graph is semi-transitive if it contains no directed cycles and has no shortcuts. An undirected graph is semi-transitive if it can be oriented in a semi-transiti…

math.CO2024

New tools to study 1-11-representation of graphs

Mikhail Futorny, Sergey Kitaev, Artem Pyatkin

The notion of a -11-representable graph was introduced by Jeff Remmel in 2017 and studied by Cheon et al.\ in 2019 as a natural extension of the extensively studied notion of wo…

math.CO2023

An embedding technique in the study of word-representabiliy of graphs

Sumin Huang, Sergey Kitaev, Artem Pyatkin

Word-representable graphs, which are the same as semi-transitively orientable graphs, generalize several fundamental classes of graphs. In this paper we propose a novel approach to…