RDF2Vec DBpedia inverse object frequency embeddings

This dataset contains the vectors from computing rdf2vec embeddings from a inverse object frequency weighted DBpedia 2016-04 graph.

For each entity in the graph, the text file in the zip archive contains a line with the entity name and the embedded vector.

The parameter settings for the embedding are as specified in the paper:

Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, and Heiko Paulheim. 2017. Biased graph walks for RDF graph embeddings. In Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics (WIMS '17). ACM, New York, NY, USA, Article 21, 12 pages. DOI: https://doi.org/10.1145/3102254.3102279