Description Details Author(s) References

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

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.

*Marco Frasca*, and *Giorgio Valentini*

DI, Dipartimento di Informatica

Universita' degli Studi di Milano

{frasca,valentini}@di.unimi.it

Maintainer:
*Marco Frasca*

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

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