L γ -PageRank for semi-supervised learning

L γ -PageRank for semi-supervised learning

Abstract PageRank for Semi-Supervised Learning has shown to leverage data structures and limited tagged examples to yield meaningful classification. Despite successes, classification performance can still be improved, particularly in cases of graphs with unclear clusters or unbalanced labeled data....

Full description

Bibliographic Details
Main Authors: Esteban Bautista, Patrice Abry, Paulo Gonçalves
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:Applied Network Science
Subjects:
Semi-supervised learning
PageRank
Laplacian powers
Diffusion on graphs
Signed graphs
Optimal tuning
Online Access:http://link.springer.com/article/10.1007/s41109-019-0172-x

Internet

http://link.springer.com/article/10.1007/s41109-019-0172-x

Similar Items