Deep Weisfeiler Leman
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Abstract (arXiv)
We introduce the framework of Deep Weisfeiler Leman algorithms (DeepWL), which allows the design of purely combinatorial graph isomorphism tests that are more powerful than the well-known Weisfeiler-Leman algorithm. We prove that, as an abstract computational model, polynomial time DeepWL-algorithms have exactly the same expressiveness as the logic Choiceless Polynomial Time (with counting) introduced by Blass, Gurevich, and Shelah (Ann. Pure Appl. Logic., 1999) It is a well-known open question whether the existence of a polynomial time graph isomorphism test implies the existence of a polynomial time canonisation algorithm. Our main technical result states that for each class of graphs (satisfying some mild closure condition), if there is a polynomial time DeepWL isomorphism test then there is a polynomial canonisation algorithm for this class. This implies that there is also a logic capturing polynomial time on this class.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 24 Mar 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 3.
4 papers.
- 2023WL meet VCcited by 31
- 2023Fine-grained Expressivity of Graph Neural Networkscited by 25
- 2021The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphscited by 19
- 2023Detection of Common Subtrees with Identical Label Distributioncited by 0
- 2023Detection of Common Subtrees with Identical Label Distribution24 Jul 2023
- 2023Fine-grained Expressivity of Graph Neural Networks6 Jun 2023
- 2023WL meet VC26 Jan 2023
- 2021The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs12 May 2021