isomorphism

// named parameter version
template <class Graph1, class Graph2, class P, class T, class R>
bool isomorphism(const Graph1& g1, const Graph2& g2,
                 const bgl_named_params<P,T,R>& params = all defaults)

// non-named parameter version
template <typename Graph1, typename Graph2, typename IsoMap,
          typename VertexInvariant1, typename VertexInvariant2,
          typename V1Map, typename V2Map>
bool isomorphism(const Graph1& g1, const Graph2& g2,
		 IsoMap f, VertexInvariant1 invariant2, VertexInvariant2 invariant2,
		 std::size_t max_invariant, VertexIndex1Map i1_map, VertexIndex2Map i2_map)

An isomorphism is a 1-to-1 mapping of the vertices in one graph to the vertices of another graph such that adjacency is preserved. Another words, given graphs G₁ = (V₁,E₁) and G₂ = (V₂,E₂) an isomorphism is a function f such that for all pairs of vertices a,b in V₁, edge (a,b) is in E₁ if and only if edge (f(a),f(b)) is in E₂.

This function returns true if there exists an isomorphism between graph 1 and graph 2 and false otherwise. Also, if a isomorphism map named parameter is provided then an isomorphism is recorded in the map.

The current implementation is based on descriptions of a backtracking algorithm in [46,48]. The file isomorphism-impl.pdf contains a (somewhat out-of-date) "literate" description of the implementation. The algorithm used is simple but slow. A more efficient (and much more complex) algorithm is described in [47]. When (and if) a version of this algorithm is ported to the BGL interface it should replace the current algorithm.

Where Defined

Parameters

A directed or undirected graph. The graph type must model of Vertex List Graph and Edge List Graph.

A directed or undirected graph. The graph type must model Bidirectional Graph and Vertex List Graph.

Named Parameters

The mapping from vertices in graph 1 to vertices in graph 2. IsoMap must be a Read/Write Property Map.
Default: an iterator_property_map constructed from a std::vector of graph 2's vertex descriptor type and the vertex index map for graph 1.
Python: Must be a vertex_vertex_map for the first graph.

Mappings from vertices to integers which restrict which vertices may be considered isomorphic. If a candidate isomorphism maps v1 to v2 but i1(v1) != i2(v2), that candidate is rejected. This mapping can be used either to speed up the search (as is done by the default value, which requires that the degrees of v1 and v2 are equal) or to impose extra conditions on the result. The VertexInvariant1 and VertexInvariant2 types must model AdaptableUnaryFunction, with the argument type of vertex_invariant1 being Graph1's vertex descriptor type, the argument type of vertex_invariant2 being Graph2's vertex descriptor type, and both functions sharing a result type that is totally ordered and hashable, such as an integer.
Default: degree_vertex_invariant for both arguments
Python: Unsupported parameter.

This parameter is ignored as it is no longer necessary, but kept for backwards compatibility.

This maps each vertex to an integer in the range [0, num_vertices(g)). This is necessary for efficient updates of the heap data structure when an edge is relaxed. The type VertexIndex1Map must be a model of Readable Property Map. The value type of the map must be an integer type. The vertex descriptor type of graph 1 needs to be usable as the key type of the map.
Default: get(vertex_index, g1) Note: if you use this default, make sure your graph has an internal vertex_index property. For example, adjacency_list with VertexList=listS does not have an internal vertex_index property.
Python: Unsupported parameter.

This maps each vertex to an integer in the range [0, num_vertices(g)). This is necessary for efficient updates of the heap data structure when an edge is relaxed. The type VertexIndex2Map must be a model of Readable Property Map. The value type of the map must be an integer type. The vertex descriptor type of graph 2 needs to be usable as the key type of the map.
Default: get(vertex_index, g2) Note: if you use this default, make sure your graph has an internal vertex_index property. For example, adjacency_list with VertexList=listS does not have an internal vertex_index property.
Python: Unsupported parameter.

Complexity

Example