Aligning dynamic networks with DynaWAVE

Network alignment (NA) aims to find similar (conserved) regions between networks. Until recently, existing methods were limited to aligning static networks. However, real-world systems, including biological ones, are dynamic. Hence, we had introduced the first ever dynamic NA method, DynaMAGNA++, which improved upon the traditional static NA. However, DynaMAGNA++does not necessarily scale well to larger networks in terms of alignment quality or runtime. So, more recently, we introduced another dynamic NA approach, DynaWAVE. DynaWAVE complements DynaMAGNA++: while DynaMAGNA++is superior to DynaWAVE on smaller networks, DynaWAVE is superior to DynaMAGNA++on larger networks. This justifies the need for both approaches.