Graph classification based on sparse graph feature selection and extreme learning machine

Abstract

Identification and classification of graph data is a hot research issue in pattern recognition. The conventional methods of graph classification usually convert the graph data to the vector representation and then using SVM to be a classifier. These methods ignore the sparsity of graph data, and with the increase of the input sample, the storage and… (More)
DOI: 10.1016/j.neucom.2016.03.110