mlsanityData to 14 Oct 2026

pyRDF2Vec: A Python Implementation and Extension of RDF2Vec

arXiv 2205.02283 ↗First posted 4 May 2022cs.LGcited by 8

Not on the map. Why?

Abstract (arXiv)

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 a 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 textttpyRDF2Vec 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.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 12 of its 31 references that are in the map. First posted on arXiv 4 May 2022.

Builds on

12 of 31 references.

References · 12

  1. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
  2. 2017Modeling Relational Data with Graph Convolutional Networkscited by 1,694
  3. 2018Learning Word Vectors for 157 Languagescited by 280
  4. 2015A Review of Relational Machine Learning for Knowledge Graphscited by 265
  5. 2020OWL2Vec*: Embedding of OWL Ontologiescited by 63
  6. 2021A Survey of Knowledge Graph Embedding and Their Applicationscited by 17
  7. 2022R-GCN: The R Could Stand for Randomcited by 9
  8. 2020Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphscited by 8
  9. 2021Putting RDF2vec in Ordercited by 8
  10. 2020Towards Exploiting Implicit Human Feedback for Improving RDF2vec Embeddingscited by 3
  11. 2019Graph Node Embeddings using Domain-Aware Biased Random Walkscited by 2
  12. 2020More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddingscited by 2

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 4; 2024: 2; 2025: 1.

8 papers.

  1. 2023Universal Preprocessing Operators for Embedding Knowledge Graphs with Literalscited by 4
  2. 2023Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networkscited by 3
  3. 2022Leveraging Wikidata's edit history in knowledge graph refinement taskscited by 1
  4. 2024Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media postscited by 1
  5. 2024OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignmentcited by 1
  6. 2023An Embedding-based Approach to Inconsistency-tolerant Reasoning with Inconsistent Ontologiescited by 0
  7. 2023PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturingcited by 0
  8. 2025gpuRDF2vec -- Scalable GPU-based RDF2veccited by 0