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Author:
None
License:
MIT License
Copyright (c) 2025-2026 Louis Van Langendonck, Guillermo Bernardez
Permission is hereby granted, free of charge, to any person obtaining a copy
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Summary:
A library for generating synthetic graph families for inductive generalization experiments of graph learning models.
Latest version:
0.1.2
Required dependencies:
matplotlib
|
networkx
|
numpy
|
pyyaml
|
scikit-learn
|
scipy
|
torch
|
torch-geometric
|
tqdm
Optional dependencies:
coverage
|
ipykernel
|
jupyter
|
jupyterlab
|
myst_parser
|
nbsphinx
|
nbsphinx_link
|
notebook
|
numpydoc
|
pre-commit
|
pydata-sphinx-theme
|
pytest
|
pytest-cov
|
pytest-mock
|
ruff
|
seaborn
|
sphinx
|
sphinx_gallery
|
streamlit
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