GraSPy: Graph Statistics in Python

Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford, Bijan K. Varjavand, Hayden S. Helm, Joshua T. Vogelstein

JMLR 2019 pp. 1-7

/jmlr/2019/chung2019jmlr-graspy/

Abstract

We introduce graspy, a Python library devoted to statistical inference, machine learning, and visualization of random graphs and graph populations. This package provides flexible and easy-to-use algorithms for analyzing and understanding graphs with a sklearn 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.

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Cite

Text

Chung et al. "GraSPy: Graph Statistics in Python." Journal of Machine Learning Research, 2019.

Markdown

[Chung et al. "GraSPy: Graph Statistics in Python." Journal of Machine Learning Research, 2019.](https://mlanthology.org/jmlr/2019/chung2019jmlr-graspy/)

BibTeX

@article{chung2019jmlr-graspy,
  title     = {{GraSPy: Graph Statistics in Python}},
  author    = {Chung, Jaewon and Pedigo, Benjamin D. and Bridgeford, Eric W. and Varjavand, Bijan K. and Helm, Hayden S. and Vogelstein, Joshua T.},
  journal   = {Journal of Machine Learning Research},
  year      = {2019},
  pages     = {1-7},
  volume    = {20},
  url       = {https://mlanthology.org/jmlr/2019/chung2019jmlr-graspy/}
}