Towards Better Approximation of Graph Crossing Number
Julia Chuzhoy, Sepideh Mahabadi, Zihan Tan

TL;DR
This paper introduces a new approach to approximate the graph crossing number problem, overcoming previous barriers and achieving better approximation ratios for bounded-degree graphs.
Contribution
It proposes a novel paradigm that improves approximation algorithms for the crossing number problem by reducing it to a constrained variant with fixed edge orderings.
Findings
Achieves an $O(n^{1/2- ext{epsilon}})$-approximation for bounded-degree graphs.
Develops a randomized algorithm for the Crossing Number with Rotation System.
Overcomes the $ ext{OPT}^2$ crossing barrier of previous methods.
Abstract
Graph Crossing Number is a fundamental problem with various applications. In this problem, the goal is to draw an input graph in the plane so as to minimize the number of crossings between the images of its edges. Despite extensive work, non-trivial approximation algorithms are only known for bounded-degree graphs. Even for this special case, the best current algorithm achieves a -approximation, while the best current negative result is APX-hardness. All current approximation algorithms for the problem build on the same paradigm: compute a set of edges (called a \emph{planarizing set}) such that is planar; compute a planar drawing of ; then add the drawings of the edges of to the resulting drawing. Unfortunately, there are examples of graphs, in which any implementation of this method must incur …
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Data Management and Algorithms · Graph Theory and Algorithms
