A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network

•We propose a new two-stage hybrid model for credit risk prediction task.•We provide to transform the initial feature set by using XGBoost method.•We provide to investigate the feature graph with XGBoost method.•We apply graph-based deep neural network for the credit risk prediction.•The proposed model achieves prediction performance with superiority.