GNN-MAM: A graph neural network based multiple attention mechanism for regional financial risk prediction

By combining graph neural networks and multiple attention mechanisms, a GNN-MAM (Graph neural network based on multiple attention mechanisms) model was developed, which utilizes the structural characteristics of graph neural networks to capture complex correlations and dynamic changes in financial d...

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Detalles Bibliográficos

Autores principales:	Yuli Ma, MyeongCheol Choi, Yelin Weng
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2025-08-01
Colección:	Alexandria Engineering Journal
Materias:	GNN Multiple attention mechanisms Financial risk prediction Financial Network Analysis
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S1110016825007641
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