Steenwinckel, BramBramSteenwinckelVandewiele, GillesGillesVandewieleAgozzino, TerencioTerencioAgozzinoOngenae, FemkeFemkeOngenae2026-05-052026-05-052023978-3-031-33454-20302-9743https://imec-publications.be/handle/20.500.12860/59332This 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.engProceedings paper10.1007/978-3-031-33455-9_28WOS:001560614800028EMBEDDINGS