KGloVe DBpedia Page Rank split frequency embeddings
收藏NIAID Data Ecosystem2026-03-11 收录
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资源简介：
This dataset contains the vectors from computing KGloVe embeddings from a Page Rank split 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. Global RDF Vector Space Embeddings. In The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I.
创建时间：
2020-01-21
