P2P Lending Default Risk Prediction Using Attention-Enhanced Graph Neural Networks

This paper proposes an attention-enhanced graph neural network approach for predicting default risk in peer-to-peer (P2P) lending platforms. The model innovatively integrates heterogeneous graph structures with multi-layer attention mechanisms to capture complex relationships between borrowers, loa...

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Autors principals:	Yanli Pu, Yuexing Chen, Jiayan Fan
Format:	Artigo
Idioma:	Inglês
Publicat:	Scientific Publication Center 2023-11-01
Col·lecció:	Journal of Advanced Computing Systems
Matèries:	P2P lending default risk prediction attention mechanism heterogeneous graph neural networks
Accés en línia:	https://scipublication.com/index.php/JACS/article/view/75
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