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cs.LG2024★ 1 cited
Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis
Mengfang Sun, Wenying Sun, Ying Sun +3
This paper presents a novel approach to credit risk prediction by employing Graph Convolutional Neural Networks (GCNNs) to assess the creditworthiness of borrowers. Leveraging the…
cs.LG2024★ 1 cited
Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessment
Mohan Jiang, Jiating Lin, Hongju Ouyang +3
This paper delves into the application of adversarial domain adaptation (ADA) for enhancing credit risk assessment in financial institutions. It addresses two critical challenges:…