KGloVe DBpedia Page Rank split frequency embeddings

<p>This dataset contains the vectors from computing KGloVe embeddings from a Page Rank split frequency weighted DBpedia 2016-04 graph.</p> <p>For each entity in the graph, the text file in the zip archive contains a line with the entity name and the embedded vector.</p> <p>The parameter settings for the embedding are as specified in the paper:</p> <p>Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, and Heiko Paulheim. 2017. Global RDF Vector Space Embeddings. In The Semantic Web &ndash; ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21&ndash;25, 2017, Proceedings, Part I.</p>