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",")"]
docstr: return most similar concept
  :param concept:
  :return:
docstr_tok: ["return","most","similar","concept",":","param","concept",":",":","return",":"]
code: def similar_concepts(self, concept, topn=20):
      """
      return most similar concept
      :param concept:
      :return:
      """
      return (
          self._model.docvecs.most_similar(concept, topn=topn)
          if self.check_concept(concept)
          else []
      )
  
imports: from numpy import array
  from gensim import matutils
label_desc: Use image node_id 4 for calling the ConceptRelatedness obj's underlying member method code with example usage: obj.similar_concepts(concept, topn) and returns: unknown