pyproject.toml

[tool.poetry]
name = "dhg"
version = "0.9.5"
description = "DHG is a Deep Learning Framework for Graph Neural Network and Hypergraph Neural Networks."
authors = ["yifanfeng97 <evanfeng97@qq.com>"]
license = "Apache-2.0"
readme = "README.md"
homepage = "https://deephypergraph.com"
repository = "https://github.com/iMoonLab/DeepHypergraph"
documentation = "https://deephypergraph.com/docs"
keywords = ["pytorch", "deep learning", "graph neural networks", "hypergraph neural networks"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Operating System :: OS Independent",
    "Environment :: GPU :: NVIDIA CUDA",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Intended Audience :: Developers",
    "Intended Audience :: Education",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering",
    "Topic :: Scientific/Engineering :: Mathematics",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Software Development",
    "Topic :: Software Development :: Libraries",
    "Topic :: Software Development :: Libraries :: Python Modules",
    "License :: OSI Approved :: Apache Software License",
]

[tool.poetry.dependencies]
python = "^3.8"
torch = ">= 1.12.1, < 2.0"
scipy = "^1.8"
optuna = "*"
numpy = "*"
scikit-learn = "*"
requests = "*"
matplotlib = "*"

[tool.poetry.dev-dependencies]

[tool.black]
include = '\.pyi?$'
line-length = 119

[tool.isort]
profile = "black"
line_length = 119

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"