Realizes link prediction for general directed or undirected complex networks, regardless of their technological, biological, or social nature. This method considers the adjacency matrix of a network as the pixel matrix of a binary image. It treats links as following: present links are corresponding to pixels of value 0. This approach can build fake images that are employed as training set for link prediction in the original image.
Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA; Department of Electrical Engineering, University of Washington, Seattle, WA, USA; Center for Cancer Systems Biology, Dana-Farber Cancer Institute, Boston, MA, USA
WangEtAl2018 funding source(s)
Supported in part by the China Scholarship Council.