# PolyGraphs
<p align="center">
<img src="https://akoliousis.com/polygraphs/eu_email_core.webp" alt="Visualisation of EU Email Core network" height="250">
</p>
<p align="center"><a href="https://akoliousis.com/polygraphs/">Documentation</a> | <a href="https://polygraphs.sites.northeastern.edu/">Website</a> | <a href="https://pypi.org/project/polygraphs/">PyPi</a></p>
PolyGraphs is a scaleable framework for performing simulations on networks built using PyTorch and DGL that can run on CPUs and GPUs.
## Getting Started
PolyGraphs requires and appropriately configured version of PyTorch and DGL before installation, see the [getting started guide](https://akoliousis.com/polygraphs/guide/introduction/getting-started) for more details. You can install the PolyGraphs library via PyPi:
```bash
pip install polygraphs
```
You can run simulations using a configuration file with the `polygraphs` command:
``` bash
polygraphs -f test.yaml
```
### Installing from Source
Advanced users can [install from source](https://akoliousis.com/polygraphs/guide/introduction/install-from-source), see the documentation for more details on running PolyGraphs on the [platform guide](https://akoliousis.com/polygraphs/guide/introduction/platform-guide).
## Analysing Simulation Results
Results from simulations can be processed using the [analysis module](https://akoliousis.com/polygraphs/guide/simulations/processing-results).
## Papers About PolyGraphs
Ball, B., Koliousis, A., Mohanan, A. & Peacey, M. [Computational philosophy: reflections on the PolyGraphs project](https://doi.org/10.1057/s41599-024-02619-z). Humanit Soc Sci Commun 11, 186 (2024).
Ball, B., Koliousis, A., Mohanan, A. & Peacey, M. [Misinformation and higher-order evidence](https://doi.org/10.1057/s41599-024-03806-8). Humanit Soc Sci Commun 11, 1294 (2024).
## Contributing
Please file an [issue](https://github.com/alexandroskoliousis/polygraphs/issues) if you encounter a bug or have any suggestions. Bug-fixes, contributions, new features and extensions are welcomed through discussion in issues.
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"description": "# PolyGraphs\n<p align=\"center\">\n <img src=\"https://akoliousis.com/polygraphs/eu_email_core.webp\" alt=\"Visualisation of EU Email Core network\" height=\"250\">\n</p>\n\n<p align=\"center\"><a href=\"https://akoliousis.com/polygraphs/\">Documentation</a> | <a href=\"https://polygraphs.sites.northeastern.edu/\">Website</a> | <a href=\"https://pypi.org/project/polygraphs/\">PyPi</a></p>\n\nPolyGraphs is a scaleable framework for performing simulations on networks built using PyTorch and DGL that can run on CPUs and GPUs.\n\n## Getting Started\nPolyGraphs requires and appropriately configured version of PyTorch and DGL before installation, see the [getting started guide](https://akoliousis.com/polygraphs/guide/introduction/getting-started) for more details. You can install the PolyGraphs library via PyPi:\n\n```bash\npip install polygraphs\n```\n\nYou can run simulations using a configuration file with the `polygraphs` command:\n\n``` bash\npolygraphs -f test.yaml\n```\n\n### Installing from Source\nAdvanced users can [install from source](https://akoliousis.com/polygraphs/guide/introduction/install-from-source), see the documentation for more details on running PolyGraphs on the [platform guide](https://akoliousis.com/polygraphs/guide/introduction/platform-guide).\n\n## Analysing Simulation Results\nResults from simulations can be processed using the [analysis module](https://akoliousis.com/polygraphs/guide/simulations/processing-results). \n\n## Papers About PolyGraphs\nBall, B., Koliousis, A., Mohanan, A. & Peacey, M. [Computational philosophy: reflections on the PolyGraphs project](https://doi.org/10.1057/s41599-024-02619-z). Humanit Soc Sci Commun 11, 186 (2024).\n\nBall, B., Koliousis, A., Mohanan, A. & Peacey, M. [Misinformation and higher-order evidence](https://doi.org/10.1057/s41599-024-03806-8). Humanit Soc Sci Commun 11, 1294 (2024).\n\n## Contributing\nPlease file an [issue](https://github.com/alexandroskoliousis/polygraphs/issues) if you encounter a bug or have any suggestions. Bug-fixes, contributions, new features and extensions are welcomed through discussion in issues.\n",
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