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setup.py
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setup.py
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from setuptools import find_packages, setup
install_requires = [
"decorator==4.4.2",
"torch",
"cython",
"pandas<=1.3.5",
"torch_sparse",
"torch_scatter",
"torch_geometric",
"numpy",
"networkx",
]
tests_require = ["pytest", "pytest-cov", "mock", "networkx", "tqdm"]
keywords = [
"machine-learning",
"deep-learning",
"deeplearning",
"deep learning",
"machine learning",
"signal processing",
"temporal signal",
"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="0.54.0",
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/v0.54.0.tar.gz",
keywords=keywords,
install_requires=install_requires,
extras_require={
"test": 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",
],
)