# Walk this Way! Entity Walks and Property Walks for RDF2vec

arXiv: https://arxiv.org/abs/2204.02777 · HTML: https://mlsanity.com/paper/2204.02777/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 11 references that are in the map.
- First posted on arXiv 5 Apr 2022.

## Builds on (most cited first, 4 of 4)

- [Distributed Representations of Words and Phrases and their Compositionality](https://mlsanity.com/paper/1310.4546/) (2013)
- [Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs](https://mlsanity.com/paper/2009.04404/) (2020)
- [Putting RDF2vec in Order](https://mlsanity.com/paper/2108.05280/) (2021)
- [KGvec2go -- Knowledge Graph Embeddings as a Service](https://mlsanity.com/paper/2003.05809/) (2020)

## Built on by (most cited first, 5 of 5)

- [Entity Type Prediction Leveraging Graph Walks and Entity Descriptions](https://mlsanity.com/paper/2207.14094/) (2022)
- [The DLCC Node Classification Benchmark for Analyzing Knowledge Graph Embeddings](https://mlsanity.com/paper/2207.06014/) (2022)
- [RDF-star2Vec: RDF-star Graph Embeddings for Data Mining](https://mlsanity.com/paper/2312.15626/) (2023)
- [Ontology Matching Through Absolute Orientation of Embedding Spaces](https://mlsanity.com/paper/2204.04040/) (2022)
- [gpuRDF2vec -- Scalable GPU-based RDF2vec](https://mlsanity.com/paper/2508.01073/) (2025)

## Abstract (arXiv)

RDF2vec is a knowledge graph embedding mechanism which first extracts sequences from knowledge graphs by performing random walks, then feeds those into the word embedding algorithm word2vec for computing vector representations for entities. In this poster, we introduce two new flavors of walk extraction coined e-walks and p-walks, which put an emphasis on the structure or the neighborhood of an entity respectively, and thereby allow for creating embeddings which focus on similarity or relatedness. By combining the walk strategies with order-aware and classic RDF2vec, as well as CBOW and skip-gram word2vec embeddings, we conduct a preliminary evaluation with a total of 12 RDF2vec variants.