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64 changes: 64 additions & 0 deletions CITATION.cff
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: 'GraSPy: Graph Statistics in Python'
message: >-
If you find graspologic useful in your work, please cite
the package via the GraSPy paper
type: software
authors:
- given-names: 'Jaewon '
family-names: Chung
email: j1c@jhu.edu
affiliation: >-
Department of Biomedical Engineering, Johns Hopkins
University
- given-names: Benjamin D.
family-names: Pedigo
email: bpedigo@jhu.edu
affiliation: >-
Department of Biomedical Engineering, Johns Hopkins
University
- given-names: Eric W.
family-names: Bridgeford
email: ebridge2@jhu.edu
affiliation: 'Department of Biostatistics, Johns Hopkins University'
- given-names: Bijan K.
family-names: Varjavand
email: bvarjav1@jhu.edu
affiliation: >-
Department of Biomedical Engineering, Johns Hopkins
University
- given-names: Hayden S.
family-names: Helm
email: hh@jhu.edu
affiliation: 'Center for Imaging Science, Johns Hopkins University'
- given-names: Joshua T.
family-names: Vogelstein
email: jovo@jhu.edu
affiliation: >-
Department of Biomedical Engineering, Center for
Imaging Science, Kavli Neuroscience Discovery
Institute
repository-code: 'https://github.com/microsoft/graspologic'
url: 'https://microsoft.github.io/graspologic/latest/'
abstract: >-
We introduce GraSPy, a Python library devoted to
statistical inference, machine learning, and visualization
of random graphs and graph populations. This package
provides exible and easy-to-use algorithms for analyzing
and understanding graphs with a scikit-learn compliant
API. GraSPy can be downloaded from Python Package Index
(PyPi), and is released under the Apache 2.0 open-source
license. The documentation and all releases are available
at https://neurodata.io/graspy.
keywords:
- Python
- graph analysis
- network analysis
- statistical inference
- machine learning
license: CC-BY-4.0
version: 0.1.1
date-released: '2019-09-19'