- 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
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Method Details- 
predictPredict 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
 
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predictPredict 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
 
 
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