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setup.py
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setup.py
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from setuptools import find_packages, setup
install_requires = ["torch",
"torch_sparse",
"torch_scatter",
"torch_cluster",
"torch_spline_conv",
"torch_geometric",
"numpy",
"networkx",
"scipy",
"tqdm",
"six"]
setup_requires = ['pytest-runner']
tests_require = ['pytest',
'pytest-cov',
'mock']
keywords = ["machine-learning",
"deep-learning",
"deeplearning",
"machine learning",
"deep learning",
"graph",
"dynamic graph",
"embedding",
"dynamic embedding",
"graph convolution",
"gcn",
"graph neural network",
"graph attention",
"lstm",
"temporal network",
"representation learning",
"learning"]
setup(
name = "torch_geometric_temporal",
packages = find_packages(),
version = "0.0.7",
license = "MIT",
description = "A Temporal Extension Library for PyTorch Geometric.",
author = "Benedek Rozemberczki",
author_email = "[email protected]",
url = "https://github.com/benedekrozemberczki/pytorch_geometric_temporal",
download_url = "https://github.com/benedekrozemberczki/pytorch_geometric_temporal/archive/v_00007.tar.gz",
keywords = keywords,
install_requires = install_requires,
setup_requires = setup_requires,
tests_require = tests_require,
python_requires = '>=3.6',
classifiers = ["Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Topic :: Software Development :: Build Tools",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3.6"],
)