class_docstr: This class is used for concept embedding (knowledge graph types (ontology classes, wiki categories)
class_docstr_tok: ["This","class","is","used","for","concept","embedding","(","knowledge","graph","types","(","ontology","classes",",","wiki","categories",")"]
code: def words_concepts_similarity(self, words, concepts):
      v_words = self.words_vector(words)
      v_concepts = self.concepts_vector(concepts)
      return (
          self.consine_similarity(v_words, v_concepts)
          if v_words is not None and v_concepts is not None
          else 0.0
      )
  
imports: from numpy import array
  from gensim import matutils
label_desc: Use image node_id 11 for calling the ConceptRelatedness obj's underlying member method code with example usage: obj.words_concepts_similarity(words, concepts) and returns: unknown