A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network

标题
A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network
作者
关键词
Feature engineering, Graph-based deep neural network, Hybrid model, XGBoost, Credit risk prediction
出版物
EXPERT SYSTEMS WITH APPLICATIONS
Volume 195, Issue -, Pages 116624
出版商
Elsevier BV
发表日期
2022-02-02
DOI
10.1016/j.eswa.2022.116624

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More