HanCred: Heterogeneous graph attention networks for credit risk assessment in a Super-App environment

Financial credit risk scoring is of the utmost importance for credit lenders, a well-designed risk management strategy allows lenders to make better decisions in terms of collocation of financial products and credit limits while keeping losses bounded. In this paper, we propose a Heterogeneous Graph...

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Autores:
Acevedo Viloria, Jaime David
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
spa
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/55695
Acceso en línea:
http://hdl.handle.net/1992/55695
Palabra clave:
Graph Neural Networks
Credit Risk
Super-App
Alternative Data
Ingeniería
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf