The Weisfeiler-Leman algorithm

Author:

Kiefer Sandra1

Affiliation:

1. RWTH Aachen University

Abstract

More than half a century after its first formulation, the Weisfeiler-Leman (WL) algorithm is still an important combinatorial technique whenever graphs or other relational structures are to be classified. However, despite its simple algebraic description and its variety of applications, we still lack a precise understanding of the expressive power of the algorithm. This column introduces the reader to the basic concepts of the WL algorithm and discusses its dimension as a parameter to capture the structural complexity of an input graph. Specifically, I present a survey of work regarding the WL dimension conducted with my co-authors. First, I outline the proof that the 3-dimensional WL algorithm (3-WL) is able to identify every planar graph. The proof version presented here relies on strong insights about the ability of 2-WL to decompose graphs. Afterwards, I highlight the most important ingredients of the generalisation of our bound to graphs that are parameterised by their Euler genus. Further details as well as a study of other aspects of the WL algorithm can be found in my dissertation [Kiefer 2020].

Publisher

Association for Computing Machinery (ACM)

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bounding the Weisfeiler-Leman Dimension via a Depth Analysis of I/R-Trees;Proceedings of the 39th Annual ACM/IEEE Symposium on Logic in Computer Science;2024-07-08

2. Compressing CFI Graphs and Lower Bounds for the Weisfeiler-Leman Refinements;2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS);2023-11-06

3. Number of Variables for Graph Differentiation and the Resolution of Graph Isomorphism Formulas;ACM Transactions on Computational Logic;2023-04-07

4. TUCAN: A molecular identifier and descriptor applicable to the whole periodic table from hydrogen to oganesson;Journal of Cheminformatics;2022-09-28

5. Graphs Identified by Logics with Counting;ACM Transactions on Computational Logic;2022-01-31

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