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abstract class GraphMatcher[TLabel] extends AnyRef

The GraphMatcher abstract class serves as a template for implementing specific algorithms for graph pattern matching.

Linear Supertypes
AnyRef, Any
Known Subclasses
MuDualIso, MuDualSim, MuGraphSim, MuStrictSim, MuTightSim, DualIso, DualSim, DualSim2, DualSim2CAR, DualSimCAR, GraphSim, GraphSim2, GraphSimCAR, MDualIso, MDualSim, MDualSim2, MDualSim2W, MDualSim2X, MDualSimCAR, MDualSimW, MDualSimX, MGraphSim, MGraphSim2, MGraphSim2W, MGraphSim2X, MGraphSimCAR, MGraphSimW, MGraphSimX, MStrictSim, MTightSim, StrictSim, TightSim
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Instance Constructors

  1. new GraphMatcher(g: Graph[TLabel], q: Graph[TLabel])(implicit arg0: ClassTag[TLabel])

    g

    the data graph G(V, E, l) with vertices v in V

    q

    the query graph Q(U, D, k) with vertices u in U

Abstract Value Members

  1. abstract def prune(phi: Array[Set[Int]]): Array[Set[Int]]

    Given the mappings 'phi' produced by the 'feasibleMates' method, prune mappings 'u -> v' where v's children fail to match u's.

    Given the mappings 'phi' produced by the 'feasibleMates' method, prune mappings 'u -> v' where v's children fail to match u's.

    phi

    array of mappings from a query vertex u to { graph vertices v }

Concrete Value Members

  1. def bijections(): Set[Array[Int]]

    Apply a graph pattern matching algorithm to find subgraphs of data graph 'g' that isomorphically match query graph 'q'.

    Apply a graph pattern matching algorithm to find subgraphs of data graph 'g' that isomorphically match query graph 'q'. These are represented by a set of single-valued bijections {'psi'} where each 'psi' function maps each query graph vertex 'u' to a data graph vertices 'v'.

  2. def countMappings(phi: Array[Set[Int]]): Pair

    Count the number of mappings between query graph vertices 'u_i' and their sets of data graph vertices {v}, giving the number of distinct vertices and edges.

    Count the number of mappings between query graph vertices 'u_i' and their sets of data graph vertices {v}, giving the number of distinct vertices and edges.

    phi

    the set-valued mapping function

  3. def disjoint(set1: Set[Int], set2: Set[Int]): Boolean

    Determine whether two sets are disjoints, i.e., have an empty intersection.

    Determine whether two sets are disjoints, i.e., have an empty intersection.

    set1

    the first set

    set2

    the second set

  4. def feasibleMates(): Array[Set[Int]]

    Create an initial array of feasible mappings 'phi' from each query vertex 'u' to the corresponding set of data graph vertices '{v}' whose label matches 'u's.

  5. def feasibleMatesW(): Array[Set[Int]]

    Create an initial array of feasible mappings 'phi' from each query vertex 'u' to the corresponding set of data graph vertices '{v}' whose label matches 'u's.

    Create an initial array of feasible mappings 'phi' from each query vertex 'u' to the corresponding set of data graph vertices '{v}' whose label matches 'u's. This version handles query graph labels that have wildcards.

  6. def filterGraph(phi: Array[Set[Int]]): Graph[TLabel]

    Filter the data graph by consider only those vertices and edges which are part of feasible matches after performing initial dual simulation.

    Filter the data graph by consider only those vertices and edges which are part of feasible matches after performing initial dual simulation.

    phi

    mappings from a query vertex u_q to { graph vertices v_g }

  7. def mappings(): Array[Set[Int]]

    Apply a graph pattern matching algorithm to find the mappings from the query graph 'q' to the data graph 'g'.

    Apply a graph pattern matching algorithm to find the mappings from the query graph 'q' to the data graph 'g'. These are represented by a multi-valued function 'phi' that maps each query graph vertex 'u' to a set of data graph vertices '{v}'.

  8. def showMappings(phi: Array[Set[Int]]): Unit

    Show all mappings between query graph vertices 'u_i' and their sets of data graph vertices {v}.

    Show all mappings between query graph vertices 'u_i' and their sets of data graph vertices {v}.

    phi

    the set-valued mapping function

  9. def test(name: String, ans: Array[Set[Int]] = null): Array[Set[Int]]

    Test the Graph Pattern Matcher.

    Test the Graph Pattern Matcher.

    ans

    the correct answer