GraSPy: Graph Statistics in Python
This provides a tool for researchers and practitioners working with graph data, but it is incremental as it packages existing methods into a new library.
The authors introduced GraSPy, a Python library for statistical inference, machine learning, and visualization of random graphs and graph populations, offering flexible algorithms with a scikit-learn compliant API.
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.