Deep Weisfeiler Leman
Martin Grohe, Pascal Schweitzer, Daniel Wiebking
Abstract
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-time canonisation algorithm for this class. This implies that there is also a logic capturing polynomial time on this class.
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Install the CLIlune papers fulltext 5649cf31-06b2-47da-a4bd-a322ee277e44Cited by top-tier papers2
- Expressivity-Preserving GNN SimulationFabian Jogl, Maximilian Thiessen, Thomas GärtnerNeurIPS 2023 · 11 citations
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