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GraSPy: Graph Statistics in Python
March 29, 2019 Β· Declared Dead Β· π Journal of machine learning research
"No code URL or promise found in abstract"
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Authors
Jaewon Chung, Benjamin D. Pedigo, Eric W. Bridgeford, Bijan K. Varjavand, Hayden S. Helm, Joshua T. Vogelstein
arXiv ID
1904.05329
Category
cs.SI: Social & Info Networks
Cross-listed
stat.ML,
stat.OT
Citations
41
Venue
Journal of machine learning research
Last Checked
3 months ago
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 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.
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