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Figure 3 | BMC Systems Biology

Figure 3

From: GraphAlignment: Bayesian pairwise alignment of biological networks

Figure 3

Computational complexity of the G raphAlignment and G ræmlin algorithms. The scaling parameters estimated from the best power law fit of the data are given in the panels for the scenarios (i-iii). While the computational cost of G raphAlignment remains constant in all the scenarios, G ræmlin’s performance deteriorates with addition of spurious weak vertex similarities in scenario (iii).

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