The HyperTrac Project: Recent Progress and Future Research Directions on Hypergraph Decompositions
Artificial Intelligence
2021-01-01 v1
Abstract
Constraint Satisfaction Problems (CSPs) play a central role in many applications in Artificial Intelligence and Operations Research. In general, solving CSPs is NP-complete. The structure of CSPs is best described by hypergraphs. Therefore, various forms of hypergraph decompositions have been proposed in the literature to identify tractable fragments of CSPs. However, also the computation of a concrete hypergraph decomposition is a challenging task in itself. In this paper, we report on recent progress in the study of hypergraph decompositions and we outline several directions for future research.
Cite
@article{arxiv.2012.14762,
title = {The HyperTrac Project: Recent Progress and Future Research Directions on Hypergraph Decompositions},
author = {Georg Gottlob and Matthias Lanzinger and Davide Mario Longo and Cem Okulmus and Reinhard Pichler},
journal= {arXiv preprint arXiv:2012.14762},
year = {2021}
}