 Dynamic Network Alignment Dante is a novel approach for pairwise alignment of dynamic networks. It uses a temporal embedding technique to compare the topological similarities between the two input dynamic networks. Experiments show that Dante outperforms other existing approaches in terms of both quality and speed. This article was authored by Pietro Sinaglia and Mario Canatero.