On the Weisfeiler-Leman Dimension of Finite Groups
Jendrik Brachter, Pascal Schweitzer
摘要
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 nonisomorphism preserving transformation from graphs to groups. Using graphs of high Weisfeiler-Leman dimension, we construct highly similar but non-isomorphic groups with equal Θ( √ 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.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper1
问问它们各自怎么用它相关 Paper
- Deep Weisfeiler LemanMartin Grohe, Pascal Schweitzer, Daniel WiebkingSODA 2021 · 被引用 6 次
- Bounding the Weisfeiler-Leman Dimension via a Depth Analysis of I/R-TreesSandra Kiefer, Daniel NeuenLICS 2024 · 被引用 1 次
- Compressing CFI Graphs and Lower Bounds for the Weisfeiler-Leman RefinementsMartin Grohe, Moritz Lichter, Daniel Neuen, Pascal SchweitzerFOCS 2023 · 被引用 4 次
- Faster Isomorphism Testing of p-Groups of Frattini Class 2Gábor Ivanyos, Euan J. Mendoza, Youming Qiao, Xiaorui Sun 等FOCS 2024 · 被引用 2 次
- Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural NetworksAnders Aamand, Justin Y. Chen, Piotr Indyk, Shyam Narayanan 等NeurIPS 2022 · 被引用 27 次
