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The Weisfeiler--Leman Dimension of Planar Graphs Is at Most 3

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TLDR
It is proved that the Weisfeiler--Leman (WL) dimension of the class of all finite planar graphs is at most 3 and, apart from several exceptional graphs, the individualization of two appropriately chosen vertices of a colored 3-connected planar graph followed by the one-dimensional WL-algorithm produces the discrete vertex partition.
Abstract
We prove that the Weisfeiler--Leman (WL) dimension of the class of all finite planar graphs is at most 3. In particular, every finite planar graph is definable in first-order logic with counting using at most 4 variables. The previously best-known upper bounds for the dimension and number of variables were 14 and 15, respectively. First, we show that, for dimension 3 and higher, the WL-algorithm correctly tests isomorphism of graphs in a minor-closed class whenever it determines the orbits of the automorphism group of every arc-colored 3-connected graph belonging to this class. Then, we prove that, apart from several exceptional graphs (which have WL-dimension at most 2), the individualization of two appropriately chosen vertices of a colored 3-connected planar graph followed by the one-dimensional WL-algorithm produces the discrete vertex partition. This implies that the three-dimensional WL-algorithm determines the orbits of arc-colored 3-connected planar graphs. As a byproduct of the proof, we get a classification of the 3-connected planar graphs with fixing number 3.

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Recent advances on the graph isomorphism problem

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The weisfeiler-leman dimension of planar graphs is at most 3

TL;DR: It is proved that the Weisfeiler-Leman (WL) dimension of the class of all finite planar graphs is at most 3, and every finitePlanar graph is definable in first-order logic with counting using at most 4 variables.
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References
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Journal ArticleDOI

Practical graph isomorphism, II

TL;DR: Traces as mentioned in this paper is a graph isomorphism algorithm based on the refinement-individualization paradigm, and it is implemented in several of the key implementations of the program nauty.
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Graphs on Surfaces

TL;DR: This chapter discusses Embeddings Combinatorially, Contractibility, of Cycles, and the Genus Problem, which focuses on planar graphs and the Jordan Curve Theorem, and colorings of Graphs on Surfaces, which are 5-choosable.
Journal ArticleDOI

How to Draw a Graph

TL;DR: In this paper, the authors define nodally 3-connected graphs as simple and non-separable graphs, and show how to obtain a convex representation of such graphs without Kuratowski subgraphs.
Journal ArticleDOI

An optimal lower bound on the number of variables for graph identification

TL;DR: It is shown that Ω(n) variables are needed for first-order logic with counting to identify graphs onn vertices, equivalent to the (k−1)-dimensional Weisfeiler-Lehman method, and the lower bound is optimal up to multiplication by a constant.
Proceedings ArticleDOI

Linear time algorithm for isomorphism of planar graphs (Preliminary Report)

TL;DR: The time bound for planar graph isomorphism is improved to O(|V|) time and the algorithm can be easily extended to partition a set of planar graphs into equivalence classes of isomorphic graphs in time linear in the total number of vertices in all graphs in the set.
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