Published January 12, 2021 | Version 1.0.0

Node2Vec model - Czech Wikidata (knowledge graph / labels / l160 / rw40)

  • 1. Faculty of Information Technology, Czech Technical University in Prague + Faculty of Mathematics and Physics, Charles University
  • 2. Faculty of Mathematics and Physics, Charles University

Description

Node2Vec embedding model trained on Czech wikidata (from October 2020) labels using gensim implementation of Word2Vec with the following parameters for random walks:

  • length of walk = 160
  • number of random walks = 40

Files

labels.160.40.d.model.txt

Files (135.1 MB)

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