LinkPredictionAlgorithm (JGraphT : a free Java graph library)

Type Parameters:

V - the graph vertex type

E - the graph edge type

All Known Implementing Classes:

AdamicAdarIndexLinkPrediction, CommonNeighborsLinkPrediction, HubDepressedIndexLinkPrediction, HubPromotedIndexLinkPrediction, JaccardCoefficientLinkPrediction, LeichtHolmeNewmanIndexLinkPrediction, PreferentialAttachmentLinkPrediction, ResourceAllocationIndexLinkPrediction, SaltonIndexLinkPrediction, SørensenIndexLinkPrediction
```
public interface LinkPredictionAlgorithm<V,E>
```
A link prediction algorithm.
A link prediction algorithm provides a score $s_{uv}$ for any pair of vertices $u,v \in V$ in the graph such that $e=(u,v) \notin E$. The nature, the magnitude and possible interpretation of such a score depends solely on the actual algorithm, meaning that it might be a similarity score, a distance metric, a probability, or even something completely unrelated. Depending on the particular algorithm, a possible interpretation of the scores might be that they measure similarity between vertices $u$ and $v$. Thus, given such scores one could sort the edges in decreasing order and pick the top-k as links (edges) which are likely to exist.

Author:

Dimitrios Michail

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`default List<Triple<V,V,Double>>`	`predict(List<Pair<V,V>> queries)`	Predict an edge between a set of vertex pairs.
`double`	`predict(V u, V v)`	Predict an edge between two vertices.

- Method Detail
  - predict
```
default List<Triple<V,V,Double>> predict(List<Pair<V,V>> queries)
```
    Predict an edge between a set of vertex pairs. The magnitude and the interpretation of the returned scores depend solely on the algorithm.
    
    Parameters:
    
    queries - a list of vertex pairs
    
    Returns:
    
    a list of vertex triples where the last component is an edge prediction score
  - predict
```
double predict(V u,
               V v)
```
    Predict an edge between two vertices. The magnitude and the interpretation of the returned score depend solely on the algorithm.
    
    Parameters:
    
    u - first vertex
    
    v - second vertex
    
    Returns:
    
    a prediction score