Pathwidth of 2-Layer k-Planar Graphs

A bipartite graph G = (X ∪ Y, E) is a 2-layer k-planar graph if it admits a drawing on the plane such that the vertices in X and Y are placed on two parallel lines respectively, edges are drawn as straight-line segments, and every edge involves at most k crossings. Angelini, Da Lozzo, Förster, and Schneck [GD 2020; Comput. J., 2024] showed that every 2-layer k-planar graph has pathwidth at most k + 1. In this paper, we show that this bound is sharp by giving a 2-layer k-planar graph with pathwidth k + 1 for every k ≥ 0. This improves their lower bound of (k + 3) / 2.

Authors

Institutions

Publication Details

Journal
arXiv (Cornell University)
Published
2025-09-01
DOI
https://doi.org/10.57717/cgt.v5i1.101
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pathwidth of 2-Layer k-Planar Graphs

Yuto Okada
arXiv (Cornell University)
Computational Geometry and Mesh Generation
article

Pathwidth of 2-Layer k-Planar Graphs

Yuto Okada
article en

Abstract

A bipartite graph G = (X ∪ Y, E) is a 2-layer k-planar graph if it admits a drawing on the plane such that the vertices in X and Y are placed on two parallel lines respectively, edges are drawn as straight-line segments, and every edge involves at most k crossings. Angelini, Da Lozzo, Förster, and Schneck [GD 2020; Comput. J., 2024] showed that every 2-layer k-planar graph has pathwidth at most k + 1. In this paper, we show that this bound is sharp by giving a 2-layer k-planar graph with pathwidth k + 1 for every k ≥ 0. This improves their lower bound of (k + 3) / 2.

arXiv (Cornell University)
Nagoya University (JP)
Openalex Percentile: Top 15%
Computational Geometry and Mesh Generation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.