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On the Weisfeiler-Leman Dimension of Finite Groups

TLDR
In this paper, the Weisfeiler-Leman algorithm is used to construct groups with high Weisberg dimension 3, and the results indicate that the algorithm can be more effective in distinguishing groups than in distinguishing graphs.
Abstract
In comparison to graphs, combinatorial methods for the isomorphism problem of finite groups are less developed than algebraic ones. To be able to investigate the descriptive complexity of finite groups and the group isomorphism problem, we define the Weisfeiler-Leman algorithm for groups. In fact we define three versions of the algorithm. In contrast to graphs, where the three analogous versions readily agree, for groups the situation is more intricate. For groups, we show that their expressive power is linearly related. We also give descriptions in terms of counting logics and bijective pebble games for each of the versions. In order to construct examples of groups, we devise an isomorphism and non-isomorphism preserving transformation from graphs to groups. Using graphs of high Weisfeiler-Leman dimension, we construct highly similar but non-isomorphic groups with equal~$\Theta(\log n)$-subgroup-profiles, which nevertheless have Weisfeiler-Leman dimension 3. These groups are nilpotent groups of class 2 and exponent~$p$, they agree in many combinatorial properties such as the combinatorics of their conjugacy classes and have highly similar commuting graphs. The results indicate that the Weisfeiler-Leman algorithm can be more effective in distinguishing groups than in distinguishing graphs based on similar combinatorial constructions.

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Proceedings ArticleDOI

On the Weisfeiler-Leman Dimension of Finite Groups

TL;DR: The results indicate that the Weisfeiler-Leman algorithm can be more effective in distinguishing groups than in distinguishing graphs based on similar combinatorial constructions.
References
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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

Graph isomorphism in quasipolynomial time [extended abstract]

TL;DR: This work builds on Luks’s framework and attack the obstructions to efficient Luks recurrence via an interplay between local and global symmetry, and constructs group theoretic “local certificates” to certify the presence or absence of local symmetry.
Book ChapterDOI

Describing Graphs: A First-Order Approach to Graph Canonization

TL;DR: In this article, the authors considered the problem of what must be added to first-order logic plus least-fixed point to obtain exactly the polynomial-time properties of unordered graphs.
BookDOI

On construction and identification of graphs

B. Weisfeiler
TL;DR: The problem of graph identification has been studied in the theory of permutation groups for a long time, see as mentioned in this paper for a discussion of the main points of the problem and an algorithm for graph identification.
Journal ArticleDOI

Logical Hierarchies in PTIME

TL;DR: It is proved that, for each natural numbern, there is a polynomial time computable query which is not definable in any extension of fixpoint logic by any set of generalized quantifiers, which rules out the possibility of characterizing PTIME in terms of definability in fix point logic extended by a finite set of universal quantifiers.
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