https://github.com/thudm/cogdl
Tip revision: 03c055d9db2485d9b76c2e1907726873d0534525 authored by think2try on 16 July 2020, 13:19:45 UTC
add srgcn_graph_nas & modify srgcn
add srgcn_graph_nas & modify srgcn
Tip revision: 03c055d
setup.py
from setuptools import setup, find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
with open(path.join(here, "README.md"), encoding='utf8') as f:
readme = f.read()
setup(
name='cogdl',
version='0.0.1',
description='A Library for Graph representataion Learning',
long_description=readme,
url='https://github.com/THUDM/cogdl',
license='MIT',
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Beta',
# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
# Pick your license as you wish (should match "license" above)
'Licence :: OSI Approved :: MIT Licence',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
],
# What does your project relate to?
keywords='network embedding and deep grapg representation learning',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=['tests', 'tests.*',
'examples', 'examples.*']),
# Alternatively, if you want to distribute just a my_module.py, uncomment
# this:
# py_modules=["my_module"],
# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=[
"torch",
"networkx",
"matplotlib",
"tqdm",
"numpy",
"scipy",
"six",
"gensim",
"grave",
"scikit_learn",
"tabulate",
],
# List additional groups of dependencies here (e.g. development
# dependencies). You can install these using the following syntax,
# for example:
# $ pip install -e .[dev,test]
extra_require={
'test': [
'pytest',
]
}
# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in MANIFEST.in as well.
# package_data={
# 'sample': ['package_data.dat'],
# },
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
# data_files=[('my_data', ['data/data_file'])],
# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
# entry_points={
# 'console_scripts': [
# 'sample=sample:main',
# ],
# },
)