# Citation

If you use PyAerial in your work, please cite our research and software papers:

```bibtex
@InProceedings{pmlr-v284-karabulut25a,
  title         = {Neurosymbolic Association Rule Mining from Tabular Data},
  author        = {Karabulut, Erkan and Groth, Paul and Degeler, Victoria},
  booktitle     = {Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning},
  pages         = {565--588},
  year          = {2025},
  editor        = {H. Gilpin, Leilani and Giunchiglia, Eleonora and Hitzler, Pascal and van Krieken, Emile},
  volume        = {284},
  series        = {Proceedings of Machine Learning Research},
  month         = {08--10 Sep},
  publisher     = {PMLR},
  url           = {https://proceedings.mlr.press/v284/karabulut25a.html}
}

@article{pyaerial,
  title = {PyAerial: Scalable association rule mining from tabular data},
  journal = {SoftwareX},
  volume = {31},
  pages = {102341},
  year = {2025},
  issn = {2352-7110},
  doi = {https://doi.org/10.1016/j.softx.2025.102341},
  author = {Erkan Karabulut and Paul Groth and Victoria Degeler},
}
```

## Contact

For questions, suggestions, or collaborations, please contact:

**Erkan Karabulut**
- 📧 e.karabulut@uva.nl
- 📧 erkankkarabulut@gmail.com

## Contribute

Contributions, feedback, and issue reports are very welcome!

Feel free to contact, open a pull request or create an issue if you have ideas for improvements on the [GitHub repository](https://github.com/DiTEC-project/pyaerial).

## License

This project is licensed under the MIT License - see the [LICENSE](https://github.com/DiTEC-project/pyaerial/blob/main/LICENSE) file for details.
