Firstly, we study the impacts of the knowledge graph on the performance of KEWE k .
we study the following three parameters of the knowledge graph: the knowledge vectors generated from the three word-level difficulties (i.e., acquisition difficulty, usage difficulty, and structure difficulty), the similarity function (i.e., sim()), and the number of neighbors of each node in the knowledge graph (i.e., k).