• DocumentCode
    1550593
  • Title

    Spectral Regression with Low-Rank Approximation for Dynamic Graph Link Prediction

  • Author

    Fang, Chunsheng ; Kohram, Mojtaba ; Ralescu, Anca L.

  • Volume
    26
  • Issue
    4
  • fYear
    2011
  • Firstpage
    48
  • Lastpage
    53
  • 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;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2011.44
  • Filename
    5871566
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1550593