pith. sign in

arxiv: 1904.05329 · v3 · pith:D5KFFEH6new · submitted 2019-03-29 · 💻 cs.SI · stat.ML· stat.OT

GraSPy: Graph Statistics in Python

Jaewon Chung , Benjamin D. Pedigo , Eric W. Bridgeford , Bijan K. Varjavand , Hayden S. Helm , Joshua T. Vogelstein This is my paper
classification 💻 cs.SI stat.MLstat.OT
keywords graspypythongraphgraphspackagealgorithmsanalyzingapache
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.