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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Abstract Value Members
- 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
- final def !=(arg0: Any): Boolean
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- val CHECK: Int
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- val LIMIT: Double
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- val SELF_LOOPS: Boolean
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- final def asInstanceOf[T0]: T0
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- 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'.
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- @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
- def disjoint(set1: Set[Int], set2: Set[Int]): Boolean
Determine whether two sets are disjoint, i.e., have an empty intersection.
Determine whether two sets are disjoint, i.e., have an empty intersection.
- set1
the first set
- set2
the second set
- final def eq(arg0: AnyRef): Boolean
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- def equals(arg0: AnyRef): Boolean
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- 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.
- final def getClass(): Class[_ <: AnyRef]
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- def hashCode(): Int
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- final def isInstanceOf[T0]: Boolean
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- 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}'.
- final def ne(arg0: AnyRef): Boolean
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- final def notify(): Unit
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- 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
- val qRange: Range
- Attributes
- protected
- 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
- final def synchronized[T0](arg0: => T0): T0
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- 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
- def toString(): String
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- final def wait(arg0: Long, arg1: Int): Unit
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- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
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- def finalize(): Unit
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- Deprecated