Link Prediction

Using library you can easily use state-of-the-art methods for link prediction.

Measure based link prediction

Basic appraoch that is using simmilarity computed between two vertices. `MeasureBasedLnkPredictor`<http://sparkling-graph.github.io/sparkling-graph/latest/api/#ml.sparkling.graph.api.operators.algorithms.link.MeasureBasedLnkPredictor>_ is trait for that approach

Basic measure based link prediction

Most basic implementation of measure based link prediction. All possible vertices combinations are computed for given graph. In next step, similarity measure is computed for each combination. Combinations that exsits or creates loops (self connections) are filtered out. Combinations that have similarity lower than given treshold are also filtered out. Implementation can be found in BasicLinkPredictor

import ml.sparkling.graph.operators.OperatorsDSL._
import org.apache.spark.SparkContext
import ml.sparkling.graph.operators.measures.edge.CommonNeighbours
import org.apache.spark.graphx.Graph

implicit ctx:SparkContext=???
// initialize your SparkContext as implicit value
val graph =???
// load your graph (for example using Graph loading API)

val predictedEdges: RDD[(VertexId,VertexId)] = graph.predictLinks(edgeMeasure=CommonNeighbours,threshold=10)
// RDD with predicted edges using Common Neighbours measure, and 10 as a minimal number of common neighbours

You can also predict links for graph treated as undirected one:

import ml.sparkling.graph.operators.OperatorsDSL._
import org.apache.spark.SparkContext
import ml.sparkling.graph.operators.measures.edge.AdamicAdar
import org.apache.spark.graphx.Graph

implicit ctx:SparkContext=???
// initialize your SparkContext as implicit value
val graph =???
// load your graph (for example using Graph loading API)

val predictedEdges: RDD[(VertexId,VertexId)] = graph.predictLinks(edgeMeasure=AdamicAdar,threshold=2,treatAsUndirected=true)
// RDD with predicted edges using Adamic/Adar measure, and 2 as a minimal value of measure, graph is treated as undirected