Published: 01 Jan 2025, Last Modified: 11 Apr 2025Eng. Appl. Artif. Intell. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract:Highlights•Proposed an adaptive graph framework for credit default prediction.•Uses differential weights and graph balancing for complex data.•Outperforms traditional methods, mitigating class imbalance.