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Lifted inference algorithms exploit symmetries in probabilistic models to speed up inference. They show impressive performance when calculating unconditional probabilities in relational models, but often resort to non-lifted inference when…

Artificial Intelligence · Computer Science 2013-11-27 Guy Van den Broeck , Adnan Darwiche

We analyze variational inference for highly symmetric graphical models such as those arising from first-order probabilistic models. We first show that for these graphical models, the tree-reweighted variational objective lends itself to a…

Artificial Intelligence · Computer Science 2014-06-23 Hung Hai Bui , Tuyen N. Huynh , David Sontag

This paper introduces a generic framework that provides sufficient conditions for guaranteeing polynomial-time decidability of fixed-negation fragments of first-order theories that adhere to certain fixed-parameter tractability…

Logic in Computer Science · Computer Science 2026-03-11 Christoph Haase , Alessio Mansutti , Amaury Pouly

We give a fixed-parameter tractable algorithm that, given a parameter $k$ and two graphs $G_1,G_2$, either concludes that one of these graphs has treewidth at least $k$, or determines whether $G_1$ and $G_2$ are isomorphic. The running time…

Data Structures and Algorithms · Computer Science 2014-12-11 Daniel Lokshtanov , Marcin Pilipczuk , Michał Pilipczuk , Saket Saurabh

We identify a sufficient condition, treewidth-pliability, that gives a polynomial-time algorithm for an arbitrarily good approximation of the optimal value in a large class of Max-2-CSPs parameterised by the class of allowed constraint…

Discrete Mathematics · Computer Science 2024-01-04 Miguel Romero , Marcin Wrochna , Stanislav Živný

Algorithmic meta-theorems explain the tractability of large classes of computational problems by linking logical expressibility with structural graph properties. While extensions of first-order logic such as FO+dp admit efficient model…

Logic in Computer Science · Computer Science 2026-05-04 Ignasi Sau , Nicole Schirrmacher , Sebastian Siebertz , Giannos Stamoulis , Dimitrios M. Thilikos , Alexandre Vigny

We prove that the combinatorial Weisfeiler-Leman algorithm of dimension $(3k+4)$ is a complete isomorphism test for the class of all graphs of rank width at most $k$. Rank width is a graph invariant that, similarly to tree width, measures…

Data Structures and Algorithms · Computer Science 2023-05-30 Martin Grohe , Daniel Neuen

We introduce a novel model-theoretic framework inspired from graph modification and based on the interplay between model theory and algorithmic graph minors. The core of our framework is a new compound logic operating with two types of…

Data Structures and Algorithms · Computer Science 2022-11-07 Fedor V. Fomin , Petr A. Golovach , Ignasi Sau , Giannos Stamoulis , Dimitrios M. Thilikos

The notion of directed treewidth was introduced by Johnson, Robertson, Seymour and Thomas [Journal of Combinatorial Theory, Series B, Vol 82, 2001] as a first step towards an algorithmic metatheory for digraphs. They showed that some…

Data Structures and Algorithms · Computer Science 2015-10-09 Mateus de Oliveira Oliveira

We give a first polynomial-time algorithm for (Weighted) Feedback Vertex Set on graphs of bounded maximum induced matching width (mim-width). Explicitly, given a branch decomposition of mim-width $w$, we give an $n^{\mathcal{O}(w)}$-time…

Data Structures and Algorithms · Computer Science 2018-01-12 Lars Jaffke , O-joung Kwon , Jan Arne Telle

We investigate fine-grained algorithmic aspects of identification problems in graphs and set systems, with a focus on Locating-Dominating Set and Test Cover. We prove the (tight) conditional lower bounds for these problems when…

Data Structures and Algorithms · Computer Science 2025-08-25 Dipayan Chakraborty , Florent Foucaud , Diptapriyo Majumdar , Prafullkumar Tale

Inference is typically intractable in high-treewidth undirected graphical models, making maximum likelihood learning a challenge. One way to overcome this is to restrict parameters to a tractable set, most typically the set of…

Machine Learning · Computer Science 2015-11-02 Justin Domke

Treewidth and hypertree width have proven to be highly successful structural parameters in the context of the Constraint Satisfaction Problem (CSP). When either of these parameters is bounded by a constant, then CSP becomes solvable in…

Data Structures and Algorithms · Computer Science 2022-10-14 Andre Schidler , Robert Ganian , Manuel Sorge , Stefan Szeider

Many problems are known to be solvable in subexponential parameterized time when the input graph is planar. The bidimensionality framework of Demaine, Fomin, Hajiaghay, and Thilikos [JACM'05] and the treewidth-pattern-covering approach by…

Data Structures and Algorithms · Computer Science 2026-04-02 Matthias Bentert , Fedor V. Fomin , Petr A. Golovach

We combine integer linear programming and recent advances in Monadic Second-Order model checking to obtain two new algorithmic meta-theorems for graphs of bounded vertex-cover. The first shows that cardMSO1, an extension of the well-known…

Data Structures and Algorithms · Computer Science 2013-06-25 Robert Ganian , Jan Obdržálek

We prove that the model checking problem for the existential fragment of first-order (FO) logic on partially ordered sets is fixed-parameter tractable (FPT) with respect to the formula and the width of a poset (the maximum size of an…

Logic in Computer Science · Computer Science 2017-01-11 Jakub Gajarský , Petr Hliněný , Jan Obdržálek , Sebastian Ordyniak

Courcelle's celebrated theorem states that all MSO-expressible properties can be decided in linear time on graphs of bounded treewidth. Unfortunately, the hidden constant implied by this theorem is a tower of exponentials whose height…

Data Structures and Algorithms · Computer Science 2026-05-04 Michael Lampis

This paper explores the computational complexity of various natural one-variable fragments of first-order modal logics with the addition of counting quantifiers, over both constant and varying domains. The addition of counting quantifiers…

Logic in Computer Science · Computer Science 2018-12-18 Christopher Hampson

Weighted model counting (WMC) consists of computing the weighted sum of all satisfying assignments of a propositional formula. WMC is well-known to be #P-hard for exact solving, but admits a fully polynomial randomized approximation scheme…

Artificial Intelligence · Computer Science 2020-07-14 Ralph Abboud , İsmail İlkan Ceylan , Radoslav Dimitrov

Linear tree constraints were introduced by Hofmann and Rodriguez in the context of amortized resource analysis for object oriented programs. More precisely, they gave a reduction from inference of resource types to constraint solving. Thus,…

Logic in Computer Science · Computer Science 2018-06-27 Sabine Bauer , Martin Hofmann
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