Enhancing corporate financial risk forecasting under reduced predictive reliability using residual knowledge single-head and dandelion vision graph neural network
This paper presents a unique framework called “Enhancing Corporate Financial Risk Forecasting under Reduced Predictive Reliability Using Residual Knowledge Single-Head and Dandelion Vision Graph Neural Network (RKSH-DVGNN)”, which achieves an accuracy of 98.70% in predicting corporate financial risks and demonstrates competitive performance compared with existing approaches.