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abstract class GraphMatcher extends AnyRef

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

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Instance Constructors

  1. new GraphMatcher(g: Graph, q: Graph)

    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. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. val CHECK: Int
    Attributes
    protected
  5. val LIMIT: Double
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  6. val SELF_LOOPS: Boolean
    Attributes
    protected
  7. final def asInstanceOf[T0]: T0
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  8. 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'.

  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
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    @throws( ... )
  10. final def eq(arg0: AnyRef): Boolean
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  11. def equals(arg0: Any): Boolean
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  12. 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.

  13. def finalize(): Unit
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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]
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  15. def hashCode(): Int
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  16. final def isInstanceOf[T0]: Boolean
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  17. 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}'.

  18. final def ne(arg0: AnyRef): Boolean
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  19. final def notify(): Unit
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  20. final def notifyAll(): Unit
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  21. def overlaps(set1: Set[Int], set2: Set[Int]): Boolean

    Determine whether two sets overlap, i.e., have a non-empty intersection.

    Determine whether two sets overlap, i.e., have a non-empty intersection.

    set1

    the first set

    set2

    the second set

  22. val qRange: Range
    Attributes
    protected
  23. def showMappings(phi: Array[Set[Int]]): Unit

    Show the mappings between a query graph vertex u and a set of data graph vertices {v}.

    Show the mappings between a query graph vertex u and a set of data graph vertices {v}.

    phi

    the set-valued mapping function

  24. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  25. def test(name: String, ans: Array[Set[Int]] = null): Unit

    Test the graph pattern matcher.

    Test the graph pattern matcher.

    name

    the name of graph pattern matcher

    ans

    the correct answer

  26. def toString(): String
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  27. final def wait(): Unit
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    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  29. final def wait(arg0: Long): Unit
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