RDF2Vec DBpedia uniform embeddings in HDF5 file format
- 1. Fraunhofer FIT
- 2. University of Mannheim
Description
This dataset contains the vectors from computing RDF2vec embeddings from a uniformly weighted DBpedia 2016-04 graph.
The file has a group called "Vectors" which contains a dataset for each entity in the graph. The dataset name is the entity name and the dataset content is the embedded vector (length 200).
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
Files
Files
(14.1 GB)
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md5:d821a874ad290fddedd5a69105bc4a2a
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14.1 GB | Download |