mlsanityData to 7 Oct 2026

Propositional Encodings of Acyclicity and Reachability by using Vertex Elimination

arXiv 2105.12908 ↗First posted 27 May 2021cs.AIcited by 3

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Abstract (arXiv)

We introduce novel methods for encoding acyclicity and s-t-reachability constraints for propositional formulas with underlying directed graphs. They are based on vertex elimination graphs, which makes them suitable for cases where the underlying graph is sparse. In contrast to solvers with ad hoc constraint propagators for acyclicity and reachability constraints such as GraphSAT, our methods encode these constraints as standard propositional clauses, making them directly applicable with any SAT solver. An empirical study demonstrates that our methods together with an efficient SAT solver can outperform both earlier encodings of these constraints as well as GraphSAT, particularly when underlying graphs are sparse.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 5 of its 23 references that are in the map. First posted on arXiv 27 May 2021.

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5 of 23 references.

References · 5

  1. 2015A Symbolic SAT-based Algorithm for Almost-sure Reachability with Small Strategies in POMDPscited by 6
  2. 2020Turbocharging Treewidth-Bounded Bayesian Network Structure Learningcited by 6
  3. 2013Learning Chordal Markov Networks by Constraint Satisfactioncited by 4
  4. 2014Computing All-Pairs Shortest Paths by Leveraging Low Treewidthcited by 3
  5. 2017On the Quest for an Acyclic Graphcited by 1

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Citing papers per year: 2023: 3.

3 papers.