libmg 1.0.2

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mG

Usage

• Install libmg by running pip install git+https://github.com/Unicam-mG/mG.git
• Create a Dataset object containing the Graph instances to process
• Define dictionaries of Psi, Phi, Sigma objects as needed by your application
• Define a CompilationConfig that is appropriate for your Dataset
• Create a GNNCompiler using the dictionaries and the CompilationConfig
• Create an appropriate Loader for your Dataset: use the SingleGraphLoader if your Dataset contains a single graph and use the MultipleGraphLoader otherwise.
• Build a model from your mG formulas using the model = GNNCompiler.compile(expr) method.
• Use output = model.predict(loader.load(), steps=loader.steps_per_epoch) or a loop like

  for x, y in loader.load():
      output = model(x)
  

  to run your model on the dataset.
• Check the tests folder for some examples of the above steps.

Compatibility

Python 3.10