//:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: /** @author John Miller, Matthew Saltz * @version 1.3 * @date Thu Jul 25 11:28:31 EDT 2013 * @see LICENSE (MIT style license file). */ package scalation.graphalytics import scala.collection.immutable.{Set => SET} //import scala.collection.mutable.{Set => SET} //import scala.collection.mutable.{HashSet => SET} import scalation.util.time //:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: /** The `GraphMatcher` abstract class serves as a template for implementing * specific algorithms for graph pattern matching. * @param g the data graph G(V, E, l) with vertices v in V * @param q the query graph Q(U, D, k) with vertices u in U */ abstract class GraphMatcher (g: Graph, q: Graph) { protected val qRange = 0 until q.size // range for query vertices protected val CHECK = 1024 // check progress after this many matches protected val LIMIT = 1E7 // quit after too many matches protected val SELF_LOOPS = false // whether the directed graph has self-loops //:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: /** 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}'. */ def mappings (): Array [SET [Int]] = prune (feasibleMates ()) //:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: /** 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. */ def feasibleMates (): Array [SET [Int]] = { q.label.map (u_label => g.getVerticesWithLabel (u_label)) } // feasibleMates //:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: /** Given the mappings 'phi' produced by the 'feasibleMates' method, * prune mappings 'u -> v' where v's children fail to match u's. * @param phi array of mappings from a query vertex u to { graph vertices v } */ def prune (phi: Array [SET [Int]]): Array [SET [Int]] //:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: /** Determine whether two sets overlap, i.e., have a non-empty intersection. * @param set1 the first set * @param set2 the second set */ def overlaps (set1: SET [Int], set2: SET [Int]): Boolean = { for (s <- set1 if set2 contains s) return true false } // overlaps //:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: /** Show the mappings between a query graph vertex u and a set of data * graph vertices {v}. * @param phi the set-valued mapping function */ def showMappings (phi: Array [SET [Int]]) { println ("query u \t--> graph {v}") for (i <- phi.indices) println ("u_" + i + " \t--> " + phi(i)) } // showMappings //:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: /** Test the graph pattern matcher. * @param name the name of graph pattern matcher * @param ans the correct answer */ def test (name: String, ans: Array [SET [Int]] = null) { val phi = time { mappings () } // time the matcher println (s"$name ---------------------------------------------------") showMappings (phi) // display results if (ans != null) for (i <- phi.indices) assert (phi(i) == ans(i)) } // test //:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: /** 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'. */ def bijections (): SET [Array [Int]] = throw new UnsupportedOperationException () } // GraphMatcher abstract class