class DualIsoCAR extends GraphMatcher
The DualIsoCAR classes used DualSim2CAR for pruning, otherwise it works
like DualIso, which uses DualSim2 for pruning.
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!=(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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def
bijections(): Set[Array[Int]]
Apply the Dual Subgraph Isomorphism algorithm to find subgraphs of data graph 'g' that isomorphically match query graph 'q'.
Apply the Dual Subgraph Isomorphism 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'.
- Definition Classes
- DualIsoCAR → GraphMatcher
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def
bijectionsWithSets(): Set[Array[Int]]
Find bijections using the more restricted 'feasibleMatesWithSets' method.
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clone(): AnyRef
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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
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- GraphMatcher
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): 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.
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.
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- GraphMatcher
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isInstanceOf[T0]: Boolean
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def
mappings(): Array[Set[Int]]
Apply the Dual Subgraph Isomorphism pattern matching algorithm to find the mappings from the query graph 'q' to the data graph 'g'.
Apply the Dual Subgraph Isomorphism 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}'.
- Definition Classes
- DualIsoCAR → GraphMatcher
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ne(arg0: AnyRef): Boolean
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notify(): Unit
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notifyAll(): Unit
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def
numMatches(): Int
Return the count of the number of matches.
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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
- Definition Classes
- GraphMatcher
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def
prune(phi: Array[Set[Int]]): Array[Set[Int]]
The method from dual cardinality simulation is used for pruning.
The method from dual cardinality simulation is used for pruning.
- phi
array of mappings from a query vertex u to { graph vertices v }
- Definition Classes
- DualIsoCAR → GraphMatcher
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val
qRange: Range
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- GraphMatcher
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def
setLimit(_limit: Int): Unit
Set an upper bound on the number matches to allow before quitting.
Set an upper bound on the number matches to allow before quitting.
- _limit
the number of matches before quitting
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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
- Definition Classes
- GraphMatcher
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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
- Definition Classes
- GraphMatcher
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def
toString(): String
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