Before revision:  Finally, we compare our approach to the state-of-the-art method that approximates centrality ranks using the degree and eigenvector centralities as input , where we show that the NCA-GE outperforms the former in a variety of scenarios .
After revision:  Finally, we show that NCA-GE outperforms, in a variety of scenarios, the state-of-the-art method that approximates centrality ranks using the degree and eigenvector centralities as input , where we show that the NCA-GE outperforms the former in a variety of scenarios .