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info.json
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{
"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.",
"authors": [
"Jaewon Chung",
"Benjamin D. Pedigo",
"Eric W. Bridgeford",
"Bijan K. Varjavand",
"Hayden S. Helm",
"Joshua T. Vogelstein"
],
"emails": [
"j1c@jhu.edu",
"bpedigo@jhu.edu",
"ebridge2@jhu.edu",
"bvarjav1@jhu.edu",
"hh@jhu.edu",
"jovo@jhu.edu"
],
"id": "19-490",
"issue": 158,
"pages": [
1,
7
],
"title": "GraSPy: Graph Statistics in Python",
"volume": 20,
"year": 2019,
"extra_links": [
["code", "https://neurodata.io/graspy"]
]
}