pyproject.toml

[build-system]
requires = ["poetry-core>=1.2.0"]
build-backend = "poetry.core.masonry.api"

[tool.poetry]
name = "gcnn"
version = "0.1.0"
authors = [
    "Marius Kurz <marius.kurz@cwi.nl>",
]
description = "An implementation of Graph Convolutional Neural Networks (GCNN) using TensorFlow."
license = "MIT"
readme = "README.md"
repository = "https://github.com/m-kurz/gcnn/"
keywords = [
    "Graph Convolutional Neural Networks",
    "TensorFlow",
    "Graph Neural Networks",
    "Geometric Deep Learning",
    "Machine Learning",
    "Deep Learning"
]
classifiers = [
    "Development Status :: 2 - Pre-Alpha",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Operating System :: OS Independent",
]

[tool.poetry.dependencies]
tensorflow = ">=2.15"
numpy = "*"
matplotlib = "*"

# Add development dependencies as `dev` extra
pytest = { version = "*", optional = true}
pytest-cov = { version = "*", optional = true}
pylint = { version = "*", optional = true}

[tool.poetry.extras]
dev = [
    "pytest",
    "pytest-cov",
    "pylint"
]