Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: GraSPy: Graph Statistics in Python   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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The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
28
The categories of this paper are: alg-geom
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The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
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The categories of this paper are: astro-ph
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The categories of this paper are: hep-lat
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The categories of this paper are: patt-sol
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The categories of this paper are: solv-int
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an