On the expressibility of the reconstructional color refinement

In this note we explore the color refinement procedure — also known as the 1-dimensional Weisfeiler-Leman procedure, well-studied in connection with the Graph Isomorphism problem — in the context of the Graph Reconstruction conjecture of Ulam. A basic fact about the Ulam reconstruction conjecture is that the connectedness of a graph is determined by the deck of its vertex-deleted subgraphs, which are considered up to isomorphism. We strengthen this result by proving that connectedness of a graph can even be determined from the deck of its vertex-deleted subgraphs given only by their stable colorings (i.e., up to equivalence under color refinement). It follows as a consequence that connectedness is recognizable by Reconstruction Graph Neural Networks, which is a recently introduced GNN architecture inspired by the reconstruction conjecture (Cotta, Morris, Ribeiro 2021).

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Publication Details

Journal
Theoretical Computer Science
Published
2025-05-19
DOI
https://doi.org/10.1016/j.tcs.2025.115321
Primary Topic
Color Science and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

On the expressibility of the reconstructional color refinement

V. Arvind, Oleg Verbitsky, Johannes Köbler
1 links
Theoretical Computer Science
Color Science and Applications
article

On the expressibility of the reconstructional color refinement

V. Arvind, Oleg Verbitsky, Johannes Köbler
article en

Abstract

In this note we explore the color refinement procedure — also known as the 1-dimensional Weisfeiler-Leman procedure, well-studied in connection with the Graph Isomorphism problem — in the context of the Graph Reconstruction conjecture of Ulam. A basic fact about the Ulam reconstruction conjecture is that the connectedness of a graph is determined by the deck of its vertex-deleted subgraphs, which are considered up to isomorphism. We strengthen this result by proving that connectedness of a graph can even be determined from the deck of its vertex-deleted subgraphs given only by their stable colorings (i.e., up to equivalence under color refinement). It follows as a consequence that connectedness is recognizable by Reconstruction Graph Neural Networks, which is a recently introduced GNN architecture inspired by the reconstruction conjecture (Cotta, Morris, Ribeiro 2021).

Theoretical Computer ScienceVol. 1047
Chennai Mathematical Institute (IN), Humboldt-Universität zu Berlin (DE), Institute of Mathematical Sciences (IN)
Deutsche Forschungsgemeinschaft
Sustainable cities and communities
Openalex Percentile: Top 92%
Color Science and Applications
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