Title :
Spectral Regression with Low-Rank Approximation for Dynamic Graph Link Prediction
Author :
Fang, Chunsheng ; Kohram, Mojtaba ; Ralescu, Anca L.
Abstract :
The paper mentions that the temporal regression model for the dynamic graph link prediction problem rests on spectral graph theory and low-rank approximation for the graph Laplacian matrix.
Keywords :
approximation theory; graph theory; matrix algebra; regression analysis; dynamic graph link prediction problem; graph Laplacian matrix; low-rank approximation; spectral graph theory; spectral regression; temporal regression model; Autoregressive processes; Computational modeling; Eigenvalues and eigenfunctions; Laplace equations; Least squares approximation; Predictive models; ARMA; dynamic graph analysis; intelligent systems; link prediction; low-rank approximation; social networks; spectral methods; statistical models;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2011.44
