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Putting RDF2vec in Order

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arxiv 2108.05280 v1 pith:42G5YZDJ submitted 2021-08-11 cs.LG cs.AI

classification cs.LGcs.AI
keywords rdf2vecorderword2vecagnosticargueclassesconsiderablecontext
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The RDF2vec method for creating node embeddings on knowledge graphs is based on word2vec, which, in turn, is agnostic towards the position of context words. In this paper, we argue that this might be a shortcoming when training RDF2vec, and show that using a word2vec variant which respects order yields considerable performance gains especially on tasks where entities of different classes are involved.

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