Before revision:  We study performance and evaluate multiple machine learning algorithms on this network. We use networks embeddings and topology-based techniques such as node2vec and vectors of similarity metrics.
After revision:  We study performance and evaluate multiple machine learning algorithms on different feature sets. To derive features we use network embeddings and topology-based techniques such as node2vec and vectors of similarity metrics.