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  2. Forbidden subgraph problem - Wikipedia

    en.wikipedia.org/wiki/Forbidden_subgraph_problem

    In extremal graph theory, the forbidden subgraph problem is the following problem: given a graph , find the maximal number of edges ⁡ (,) an -vertex graph can have such that it does not have a subgraph isomorphic to .

  3. Unit distance graph - Wikipedia

    en.wikipedia.org/wiki/Unit_distance_graph

    The enumeration formulas for unit distance graphs generalize to higher dimensions, and shows that in dimensions four or more the number of strict unit distance graphs is much larger than the number of subgraphs of unit distance graphs. [2] Any finite graph may be embedded as a unit distance graph in a sufficiently high dimension.

  4. Mycielskian - Wikipedia

    en.wikipedia.org/wiki/Mycielskian

    Applying the Mycielskian repeatedly, starting with the one-edge graph, produces a sequence of graphs M i = μ(M i−1), sometimes called the Mycielski graphs. The first few graphs in this sequence are the graph M 2 = K 2 with two vertices connected by an edge, the cycle graph M 3 = C 5 , and the Grötzsch graph M 4 with 11 vertices and 20 edges.

  5. Ramsey's theorem - Wikipedia

    en.wikipedia.org/wiki/Ramsey's_theorem

    Each complete graph K n has ⁠ 1 / 2 ⁠ n(n 1) edges, so there would be a total of c n(n-1)/2 graphs to search through (for c colours) if brute force is used. [6] Therefore, the complexity for searching all possible graphs (via brute force ) is O ( c n 2 ) for c colourings and at most n nodes.

  6. Clique problem - Wikipedia

    en.wikipedia.org/wiki/Clique_problem

    The brute force algorithm finds a 4-clique in this 7-vertex graph (the complement of the 7-vertex path graph) by systematically checking all C(7,4) = 35 4-vertex subgraphs for completeness. In computer science , the clique problem is the computational problem of finding cliques (subsets of vertices, all adjacent to each other, also called ...

  7. Spanning tree - Wikipedia

    en.wikipedia.org/wiki/Spanning_tree

    A connected graph may have a disconnected spanning forest, such as the forest with no edges, in which each vertex forms a single-vertex tree. [8] [9] A few graph theory authors define a spanning forest to be a maximal acyclic subgraph of the given graph, or equivalently a subgraph consisting of a spanning tree in each connected component of the ...

  8. New digraph reconstruction conjecture - Wikipedia

    en.wikipedia.org/wiki/New_digraph_reconstruction...

    The reconstruction conjecture of Stanisław Ulam is one of the best-known open problems in graph theory.Using the terminology of Frank Harary [1] it can be stated as follows: If G and H are two graphs on at least three vertices and ƒ is a bijection from V(G) to V(H) such that G\{v} and H\{ƒ(v)} are isomorphic for all vertices v in V(G), then G and H are isomorphic.

  9. Incidence matrix - Wikipedia

    en.wikipedia.org/wiki/Incidence_matrix

    It is the incidence matrix of any bidirected graph that orients the given signed graph. The column of a positive edge has a 1 in the row corresponding to one endpoint and a −1 in the row corresponding to the other endpoint, just like an edge in an ordinary (unsigned) graph. The column of a negative edge has either a 1 or a −1 in both rows.