Dianhui Wang

Graph Embedded Stochastic Configuration Networks for Imbalanced Data Classification

This paper presents a novel approach called Graph Embedded Stochastic Configuration Networks (GESCNs) for complex data classification. To enhance the learning of geometric and discriminative features, especially in imbalanced and noisy datasets, the proposed GESCNs method integrates graph embedding…