Pygplib (Python First-Order Graph Property Library) is a Python module
for constructing, manipulating, and encoding graph properties expressible
with first-order logic of graphs.
It serves as a prototyping tool to tackle with
various graph related applications.
It provides access to state-of-the-art satisfiability technologies
without advanced knowledge.
Basic steps to follow are :
- Express a graph property of interest as a first-order formula.
- Set a graph structure, and encode a first-order formula into CNF, a canonical normal form for propositional formulas.
- Apply satisfiability tools to the CNF to compute satisfying assignments.
- Decode the result into an assignment of first-order variables.
For installation, examples, tutorials, and so on, please see online documentation .
Please cite the following paper if you use pygplib:
@INPROCEEDINGS {10356599,
author = {T. Toda and T. Ito and J. Kawahara and T. Soh and A. Suzuki and J. Teruyama},
booktitle = {2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI)},
title = {Solving Reconfiguration Problems of First-Order Expressible Properties of Graph Vertices with Boolean Satisfiability},
year = {2023},
volume = {},
issn = {},
pages = {294-302},
abstract = {This paper presents a unified framework for capturing a variety of graph reconfiguration problems in terms of firstorder expressible properties and proposes a Boolean encoding for formulas in the first-order logic of graphs based on the exploitation of fundamental properties of graphs. We show that a variety of graph reconfiguration problems captured in our framework can be computed in a unified way by combining our encoding and Boolean satisfiability solver in a bounded model checking approach but allowing us to use quantifiers and predicates on vertices to express reconfiguration properties.},
keywords = {automata;model checking;encoding;artificial intelligence},
doi = {10.1109/ICTAI59109.2023.00050},
url = {https://doi.ieeecomputersociety.org/10.1109/ICTAI59109.2023.00050},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
month = {nov}
}
Please report bugs and requests from GitHub Issues , and ask questions from GitHub Discussions .
Please see CHANGES .
Please see LICENSE .