polygraphs 0.0.23a0

Philosophical simulations on networks

PolyGraphs

Documentation | Website | PyPi

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 for more details. You can install the PolyGraphs library via PyPi:

pip install polygraphs

You can run simulations using a configuration file with the polygraphs command:

polygraphs -f test.yaml

Installing from Source

Advanced users can install from source, see the documentation for more details on running PolyGraphs on the platform guide.

Analysing Simulation Results

Results from simulations can be processed using the analysis module.

Papers About PolyGraphs

Ball, B., Koliousis, A., Mohanan, A. & Peacey, M. Computational philosophy: reflections on the PolyGraphs project. Humanit Soc Sci Commun 11, 186 (2024).

Ball, B., Koliousis, A., Mohanan, A. & Peacey, M. Misinformation and higher-order evidence. Humanit Soc Sci Commun 11, 1294 (2024).

Contributing

Please file an issue if you encounter a bug or have any suggestions. Bug-fixes, contributions, new features and extensions are welcomed through discussion in issues.