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graphisomorphism

(Removed) Find isomorphism between two graphs

graphisomorphism has been removed. Use isomorphism instead.

Syntax

[Isomorphic, Map] = graphisomorphism(G1, G2)
[Isomorphic, Map] = graphisomorphism(G1, G2,'Directed', DirectedValue)

Arguments

G1 N-by-N adjacency matrix that represents a directed or undirected graph. Nonzero entries in matrix G1 indicate the presence of an edge.
G2N-by-N adjacency matrix that represents a directed or undirected graph. G2 must be the same (directed or undirected) as G1.
DirectedValueProperty that indicates whether the graphs are directed or undirected. Enter false when both G1 and G2 are undirected graphs. In this case, the upper triangles of the matrices G1 and G2 are ignored. Default is true, meaning that both graphs are directed.

Description

Tip

For introductory information on graph theory functions, see Graph Theory Functions.

[Isomorphic, Map] = graphisomorphism(G1, G2) returns logical 1 (true) in Isomorphic if G1 and G2 are isomorphic graphs, and logical 0 (false) otherwise. A graph isomorphism is a 1-to-1 mapping of the nodes in the graph G1 and the nodes in the graph G2 such that adjacencies are preserved. G1 and G2 are both N-by-N adjacency matrices that represent directed or undirected graphs. Return value Isomorphic is Boolean. When Isomorphic is true, Map is a row vector containing the node indices that map from G2 to G1 for one possible isomorphism. When Isomorphic is false, Map is empty. The worst-case time complexity is O(N!), where N is the number of nodes.

[Isomorphic, Map] = graphisomorphism(G1, G2,'Directed', DirectedValue) indicates whether the graphs are directed or undirected. Set DirectedValue to false when both G1 and G2 are undirected graphs. In this case, the upper triangles of the matrices G1 and G2 are ignored. Default is true, meaning that both graphs are directed.

References

[1] Fortin, S. (1996). The Graph Isomorphism Problem. Technical Report, 96-20, Dept. of Computer Science, University of Alberta, Edomonton, Alberta, Canada.

[2] McKay, B.D. (1981). Practical Graph Isomorphism. Congressus Numerantium 30, 45-87.

[3] Siek, J.G., Lee, L-Q, and Lumsdaine, A. (2002). The Boost Graph Library User Guide and Reference Manual, (Upper Saddle River, NJ:Pearson Education).

Version History

Introduced in R2006b

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