Negin Samadi

Graph Relearn Network: Reducing performance variance and improving prediction accuracy of graph neural networks

A survey on imbalanced learning: latest research, applications and future directions

Boosting methods for multi-class imbalanced data classification: an experimental review

Identifying influential spreaders based on edge ratio and neighborhood diversity measures in complex networks