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Network Adjacency Matrix Blocked-compressive Sensing: A Novel Algorithm for Link Prediction
2019
Ingénierie des Systèmes d'Information
Link prediction for complex networks is a research hotspot. The main purpose is to predict the unknown edge according to the structure of the existing network. However, the edges in realworld networks are often sparsely distributed, and the number of unobserved edges is usually far greater than that of observed ones. Considering the weak performance of traditional link prediction algorithms under the above situation, this paper puts forward a novel link prediction algorithm called network
doi:10.18280/isi.240104
fatcat:khb57reqqzhgrdnijoiqrywkjy