Unlike Word2vec, this tool learns embeddings of entities (i.e., entries in Wikipedia) as well as words. And although the model implemented in this tool is based on Word2vec's skip-gram model, it is extended using two submodels (Wikipedia link graph model and anchor context model). Please refer to the documentation for details: https://wikipedia2vec.github.io/wikipedia2vec/intro/