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Commit ec75faf6 authored by Michael Schaub's avatar Michael Schaub
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Update README.md

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![build](https://github.com/Feelx234/nestmodel/actions/workflows/pythonapp.yml/badge.svg)
**THIS IS A BACKUP OF https://github.com/Feelx234/nestmodel**
The following repository contains to recreate the results from our publication:
Stamm FI, Scholkemper M, Strohmaier M, Schaub MT. Neighborhood structure configuration models. InProceedings of the ACM Web Conference 2023 2023 Apr 30 (pp. 210-220).
**This repo is a backup copy of https://github.com/Feelx234/nestmodel**
Neighborhood Structure Configuration Models (short NeSt-models) allow to generate random graphs that preserved the neighborhood structure of a given graph for arbitrary depth d.
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