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Computing the differences between two graphs is simple and straightforward if all nodes are named.
The isomorphism test between two graphs is then reduced to the equality test between their integer codes.
The SHD between two graphs is the number of edge insertions or deletions needed to transform one graph into the other.
The test assesses if an observed SHD between two graphs is untypically large compared to the SHD distribution under the null-hypothesis.
The SHD between two graphs is the number of edge insertions, deletions or flips in order to transform one graph to the other.
The similarity between two graphs is defined based on the node and edge similarity and the penalty scores for node deletion and insertion.
Similar(54)
The global dissimilarity function between the two graphs is minimized using randomized tree search and genetic algorithms.
With this representation in place, the problem of finding a match is reduced to that of identifying a maximal common subgraph (subgraph of one graph that is isomorphic to a subgraph of the other) between the two graphs being compared.
Another difference between the two graphs was that the variance of GE on site I was 0.014, and on site II, it was 0.008, reflecting larger departures from the mean on site I. Figure 7 Growth efficiency comparison.
Two graphs are dual when the relationship between branches and node pairs in one is the same as the relationship between branches and loops in the other.
They determined a total percentage of similarity between any two graphs and the number of areas where two graphs were deviating in the same direction.
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