TutorialsΒΆ

The following Jupyter notebooks will guide you through the most important features of AmpliGraph:

  • [AmpliGraph basics](tutorials/AmpliGraphBasicsTutorial.md): training, saving and restoring a model, evaluating a model,

discover new links, visualize embeddings. [[Jupyter notebook](https://github.com/Accenture/AmpliGraph/blob/master/docs/tutorials/AmpliGraphBasicsTutorial.ipynb)] [[Colab notebook](https://colab.research.google.com/drive/1rylqOnm992AdP9z1aW8metlKpPuBTRGD)] + [Link-based clustering and classification](tutorials/ClusteringAndClassificationWithEmbeddings.md): how to use the knowledge embeddings generated by a graph of international football matches in clustering and classification tasks. [[Jupyter notebook](https://github.com/Accenture/AmpliGraph/blob/master/docs/tutorials/ClusteringAndClassificationWithEmbeddings.ipynb)] [[Colab notebook](https://colab.research.google.com/drive/1QUphvcFvNsWyRZM_J5ahsLhEHJY4SjyS)]

Additional examples and code snippets are [available here](examples.md).