GraphLog

API to interface with the GraphLog Dataset. GraphLog is a multi-purpose, multi-relational graph dataset built using rules grounded in first-order logic.

Homepage | Paper | API Docs

Installation

• Supported Python Version: 3.6+
• Install PyTorch from https://pytorch.org/get-started/locally/
• Install pytorch-geometric (and other dependencies) from https://github.com/rusty1s/pytorch_geometric#installation. Make sure that cpu/cuda versions for pytorch and pytorch-geometric etc matches.
• pip install graphlog

QuickStart

Check out the notebooks on Basic Usage and Advanced Usage to quickly start playing with GraphLog.

Dev Setup

• pip install -e ".[dev]"
• Install pre-commit hooks pre-commit install
• The code is linted using:
  • black
  • flake8
  • mypy
• All the tests can be run locally using nox

Experiments

Code for experiments used in our paper are available in experiments/ folder.

Questions

• If you have questions, open an Issue
• Or, join our Slack channel and post your questions / comments!
• To contribute, open a Pull Request (PR)

Contributing

Please open a Pull Request (PR).

Citation

If our work is useful for your research, consider citing it using the following bibtex:

@article{sinha2020graphlog,
  Author = {Koustuv Sinha and Shagun Sodhani and Joelle Pineau and William L. Hamilton},
  Title = {Evaluating Logical Generalization in Graph Neural Networks},
  Year = {2020},
  arxiv = {https://arxiv.org/abs/2003.06560}
}

License

CC-BY-NC 4.0 (Attr Non-Commercial Inter.)

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