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pyRDF2Vec: A Python Implementation and Extension of RDF2Vec

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The Semantic Web (ESWC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13870))

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Abstract

This paper introduces pyRDF2Vec, a Python software package that reimplements the well-known RDF2Vec algorithm along with several of its extensions. By making the algorithm available in the most popular data science language, and by bundling all extensions into a single place, the use of RDF2Vec is simplified for data scientists. The package is released under an MIT license and structured in such a way to foster further research into sampling, walking, and embedding strategies, which are vital components of the RDF2Vec algorithm. Several optimisations have been implemented in pyRDF2Vec that allow for more efficient walk extraction than the original algorithm. Furthermore, best practices in terms of code styling, testing, and documentation were applied such that the package is future-proof as well as to facilitate external contributions.

Resource type: Software

License: MIT license

URL: https://github.com/IBCNServices/pyRDF2Vec.

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Notes

  1. 1.

    https://www.kaggle.com/c/kaggle-survey-2022.

  2. 2.

    www.rdf2vec.org.

  3. 3.

    https://github.com/features/actions.

  4. 4.

    https://python-poetry.org/.

  5. 5.

    www.pytest.org.

  6. 6.

    http://mypy-lang.org/.

  7. 7.

    https://www.sphinx-doc.org/.

  8. 8.

    https://pepy.tech/project/pyRDF2Vec.

  9. 9.

    https://scholar.google.com/scholar?q="pyRDF2Vec".

  10. 10.

    https://github.com/IBCNServices/pyRDF2Vec.

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Author information

Authors and Affiliations

  1. IDLab, Ghent University – imec, 9000, Gent, Belgium

    Bram Steenwinckel, Gilles Vandewiele, Terencio Agozzino & Femke Ongenae

Authors
  1. Bram Steenwinckel
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  2. Gilles Vandewiele
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  3. Terencio Agozzino
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  4. Femke Ongenae
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Corresponding author

Correspondence to Bram Steenwinckel .

Editor information

Editors and Affiliations

  1. Universidade de Lisboa, Lisbon, Portugal

    Catia Pesquita

  2. University of London, London, UK

    Ernesto Jimenez-Ruiz

  3. Rensselaer Polytechnic Institute, Troy, MI, USA

    Jamie McCusker

  4. Universidade de Lisboa, Lisbon, Portugal

    Daniel Faria

  5. Fondazione Bruno Kessler, Povo, Trento, Italy

    Mauro Dragoni

  6. KU Leuven, Sint-Katelijne-Waver, Belgium

    Anastasia Dimou

  7. EURECOM, Biot, France

    Raphael Troncy

  8. University of Mannheim, Mannheim, Germany

    Sven Hertling

A Appendix: Example Usage

A Appendix: Example Usage

We now provide a simple code snippet in Listing 1 that demonstrates how a user can generate embeddings for nodes of interest in his/her KG with just a few lines of code.

figure a

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Steenwinckel, B., Vandewiele, G., Agozzino, T., Ongenae, F. (2023). pyRDF2Vec: A Python Implementation and Extension of RDF2Vec. In: Pesquita, C., et al. The Semantic Web. ESWC 2023. Lecture Notes in Computer Science, vol 13870. Springer, Cham. https://doi.org/10.1007/978-3-031-33455-9_28

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  • DOI: https://doi.org/10.1007/978-3-031-33455-9_28

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