A Novel Hybrid Model for Credit Risk Assessment of Supply Chain Finance Based on Topological Data Analysis and Graph Neural Network

A Novel Hybrid Model for Credit Risk Assessment of Supply Chain Finance Based on Topological Data Analysis and Graph Neural Network

Supply Chain Finance (SCF) in the energy sector has emerged as a critical area of focus due to the need for sustainable and efficient financial solutions to manage the complex interactions between various stakeholders, including suppliers, financial institutions, and energy companies. This study pro...

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Bibliografiska uppgifter
Huvudupphovsmän: Kosar Farajpour Mojdehi, Babak Amiri, Amirali Haddadi
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2025-01-01
Serie:IEEE Access
Ämnen:
Topological data analysis
graph neural network
credit risk
BallMapper
supply chain finance
Länkar:https://ieeexplore.ieee.org/document/10838507/

Internet

https://ieeexplore.ieee.org/document/10838507/

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