Brief Announcement: Deciding FO Formulas Efficiently in Congested Networks

We establish that for every first-order logic (FO) formula ϕ, which captures a vast number of computational problems on graphs, and every graph class G of bounded expansion, there exists a deterministic distributed algorithm that, for any n-node graph G ∈ G with diameter D, determines whether G ⊨ ϕ within O(D+log n) rounds in the standard CONGEST model. Graph classes of bounded expansion encompass many well-known families of sparse graphs, including planar graphs, bounded-genus graphs, bounded-treedepth graphs, bounded-treewidth graphs, bounded-degree graphs, graphs that exclude a fixed graph H as a minor or topological minor, random graphs with constant average degree (a.a.s.), and many network models (e.g., stochastic block models) for some ranges of parameters.

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Published
2025-06-13
DOI
https://doi.org/10.1145/3732772.3733507
Primary Topic
Network Traffic and Congestion Control
Type
article
Field-Weighted Citation Impact
0.00

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Brief Announcement: Deciding FO Formulas Efficiently in Congested Networks

Pedro Montealegre, Iván Rapaport, Petr A. Golovach, Pierre Fraigniaud et al.
Network Traffic and Congestion Control
article

Brief Announcement: Deciding FO Formulas Efficiently in Congested Networks

Pedro Montealegre, Iván Rapaport, Petr A. Golovach, Pierre Fraigniaud, Fedor V. Fomin, Ioan Todinca
article en

Abstract

We establish that for every first-order logic (FO) formula ϕ, which captures a vast number of computational problems on graphs, and every graph class G of bounded expansion, there exists a deterministic distributed algorithm that, for any n-node graph G ∈ G with diameter D, determines whether G ⊨ ϕ within O(D+log n) rounds in the standard CONGEST model. Graph classes of bounded expansion encompass many well-known families of sparse graphs, including planar graphs, bounded-genus graphs, bounded-treedepth graphs, bounded-treewidth graphs, bounded-degree graphs, graphs that exclude a fixed graph H as a minor or topological minor, random graphs with constant average degree (a.a.s.), and many network models (e.g., stochastic block models) for some ranges of parameters.

Université d'Orléans (FR), Centre National de la Recherche Scientifique (FR), Université Paris Cité (FR), Adolfo Ibáñez University (CL), University of Bergen (NO), University of Chile (CL)
Agence Nationale de la Recherche, Norges Forskningsråd, Agencia Nacional de Investigación y Desarrollo
Climate action
Openalex Percentile: Top 86%
Network Traffic and Congestion Control
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Brief Announcement: Deciding FO Formulas Efficiently in Congested Networks — Pedro Montealegre, Iván Rapaport, et al. · (2025) | TGRS Research Map | TGRS