Truncated Graph-Regularized Low Rank Representation for Link Prediction
Link prediction, whose primitive aim lies in remodeling or inferring link formations in complex networks, has been accepted as a fundamental study in understanding interactions between specific node pairs. To overcome the shortcomings of sparsity and intricacy in networks, an iterative method is pro...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8684231/ |