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**PyGol** is a Python library that can be used in Python programs (e.g., Jupyter Notebooks). It can also connect with **SWI-Prolog** via **Janus**.
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**PyGol** is free to use for non-commercial research and education. If you use PyGol for research, please cite the paper:
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**PyGol** is free to use for non-commercial research and education. If you use PyGol for research, please cite the paper: [Efficient Abductive Learning of Microbial Interactions using Meta Inverse Entailment](https://link.springer.com/chapter/10.1007/978-3-031-55630-2_10).
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Dany Varghese, Didac Barroso-Bergada, David A. Bohan and Alireza Tamaddoni-Nezhad,
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Efficient Abductive Learning of Microbial Interactions using Meta Inverse Entailment,
For further information, please find the [manual](https://github.com/danyvarghese/PyGol/blob/debbe3024fda4cfaf33936e76dfd9455e455c39c/Manual_Pygol.pdf).
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## Publications
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* Didac Barroso-Bergada, Alireza Tamaddoni-Nezhad, Dany Varghese, Corinne Vacher, Nika Galic, Valérie Laval, Frédéric Suffert, David A Bohan. [Unravelling the web of dark interactions: Explainable inference of the diversity of microbial interactions](https://www.sciencedirect.com/science/article/abs/pii/S0065250423000053?via%3Dihub). Advances in Ecological Research, 2023.
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* Dany Varghese, Roman Bauer, Alireza Tamaddoni-Nezhad. [Few-Shot Learning of Diagnostic Rules for Neurodegenerative Diseases Using Inductive Logic Programming](https://link.springer.com/chapter/10.1007/978-3-031-49299-0_8). Lecture Notes in Computer Science, Springer, 2023.
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* Dany Varghese, Uzma Patel, Paul Krause & Alireza Tamaddoni-Nezhad. [Few-Shot Learning for Plant Disease Classification Using ILP](https://link.springer.com/chapter/10.1007/978-3-031-35641-4_26). Communications in Computer and Information Science, Springer, 2022.
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## Bug reports and feature requests
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Please submit all bug reports and feature requests as issues on this GitHub repository.
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