COSNet-package: R package for binary classification and node ranking on...

In COSNet: Cost Sensitive Network for node label prediction on graphs with highly unbalanced labelings

Description

Algorithm based on cost-sensitive neural network for predicting node labels in a semi-supervised setting.

Details

Package:	COSNet
Type:	Package
Version:	1.5.1
Date:	2015-11-06
License:	GPL (>= 2)
LazyLoad:	yes

This package implements the COSNet algorithm (Frasca et al. 2013). COSNet is a semi-supervised cost-sensitive neural network for predicting node labels in partially labeled graphs. The algorithm is able in inferring a labeling for unlabeled nodes in the graph starting from the graph topology and the known labels.

Author(s)

Marco Frasca, and Giorgio Valentini

DI, Dipartimento di Informatica

Universita' degli Studi di Milano

{frasca,valentini}@di.unimi.it

Maintainer: Marco Frasca

References

Frasca M., Bertoni A., Re M., Valentini G.: A neural network algorithm for semi-supervised node label learning from unbalanced data. Neural Networks, Volume 43, July, 2013 Pages 84-98.

Bertoni A., Frasca M., Valentini G.: COSNet: a Cost Sensitive Neural Network for Semi-supervised Learning in Graphs. ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I. Pages 219-234

COSNet documentation built on Nov. 8, 2020, 8:12 p.m.