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rustworkx: A High-Performance Graph Library for Python

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Oct 2022Publisher:Zenodo
Authors: Matthew Treinish; Ivan Carvalho; Georgios Tsilimigkounakis; Nahum Sá;
Code repository: https://github.com/Qiskit/rustworkx/tree/0.12.0

doi: 10.5281/zenodo.8013784 , 10.5281/zenodo.8402989 , 10.5281/zenodo.10694704 , 10.5281/zenodo.7158473 , 10.5281/zenodo.16821254 , 10.5281/zenodo.14728742 , 10.5281/zenodo.5879859 , 10.5281/zenodo.16824279 , 10.5281/zenodo.8200146 , 10.5281/zenodo.12575448 , 10.5281/zenodo.10557718 , 10.5281/zenodo.7352046 , 10.5281/zenodo.12583456 , 10.5281/zenodo.10810961

rustworkx: A High-Performance Graph Library for Python

Abstract

rustworkx is a general-purpose graph theory library focused on performance. It wraps low-level Rust code into a flexible Python API, providing fast implementations for popular graph algorithms.

rustworkx is the work of many people who contribute to the project at different levels. See the full list of contributors on Github: https://github.com/Qiskit/rustworkx/graphs/contributors

Keywords

python, rust, graph-theory

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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impulse
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