class DualSim2CAR extends GraphMatcher
The DualSim2CAR class provides a second implementation for Dual Graph Simulation.
It differs from DualSim by not using inverse adjacency sets ('pa') in
order to save space. It also enforces the cardinality restriction.
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val
LIMIT: Double
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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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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.
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the first set
- set2
the second set
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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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def
feasibleMatesWithSets(): Array[Set[Int]]
Return the vertices in the data graph 'g' that match the vertices in the query graph 'q'.
Return the vertices in the data graph 'g' that match the vertices in the query graph 'q'. The matching involves a label match and a first check of children and parents.
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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}'.
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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
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the second set
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def
prune(phi: Array[Set[Int]]): Array[Set[Int]]
Given the mappings 'phi' produced by the 'feasibleMateswithSets' method, eliminate mappings 'u -> v' when (1) v's children fail to match u's or (2) v's parents fail to match u's.
Given the mappings 'phi' produced by the 'feasibleMateswithSets' method, eliminate mappings 'u -> v' when (1) v's children fail to match u's or (2) v's parents fail to match u's.
- phi
array of mappings from a query vertex u to { graph vertices v }
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val
qRange: Range
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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
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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
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