COSNet (version 1.6.0)

COSNet-package: R package for binary classification and node ranking on partially labeled graphs with unbalanced labels.

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.

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