Efficiently Enumerating Minimal Triangulations
Nofar Carmeli, Batya Kenig, Benny Kimelfeld, Markus Kr\"oll

TL;DR
This paper introduces an efficient algorithm for enumerating all minimal graph triangulations and proper tree decompositions in incremental polynomial time, enabling high-quality decompositions for various applications.
Contribution
The authors develop a novel incremental polynomial-time enumeration algorithm for minimal triangulations and proper tree decompositions, adaptable with existing triangulation methods.
Findings
Algorithm outperforms existing methods in quality measures
Able to generate many high-quality decompositions
Effective on real-world data from multiple fields
Abstract
We present an algorithm that enumerates all the minimal triangulations of a graph in incremental polynomial time. Consequently, we get an algorithm for enumerating all the proper tree decompositions, in incremental polynomial time, where "proper" means that the tree decomposition cannot be improved by removing or splitting a bag. The algorithm can incorporate any method for (ordinary, single result) triangulation or tree decomposition, and can serve as an anytime algorithm to improve such a method. We describe an extensive experimental study of an implementation on real data from different fields. Our experiments show that the algorithm improves upon central quality measures over the underlying tree decompositions, and is able to produce a large number of high-quality decompositions.
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Taxonomy
TopicsMachine Learning and Data Classification · Advanced Graph Neural Networks · Bayesian Modeling and Causal Inference
