中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Corporate Credit Ratings Based on Hierarchical Heterogeneous Graph Neural Networks

文献类型:期刊论文

作者Bo-Jing Feng, Xi Cheng, Hao-Nan Xu, Wen-Fang Xue
刊名Machine Intelligence Research
出版日期2024
卷号21期号:2页码:257-271
ISSN号2731-538X
关键词Corporate credit rating, hierarchical relation, heterogeneous graph neural networks, adversarial learning
DOI10.1007/s11633-023-1425-9
英文摘要In order to help investors understand the credit status of target corporations and reduce investment risks, the corporate credit rating model has become an important evaluation tool in the financial market. These models are based on statistical learning, machine learning and deep learning especially graph neural networks (GNNs). However, we found that only few models take the hierarchy, heterogeneity or unlabeled data into account in the actual corporate credit rating process. Therefore, we propose a novel framework named hierarchical heterogeneous graph neural networks (HHGNN), which can fully model the hierarchy of corporate features and the heterogeneity of relationships between corporations. In addition, we design an adversarial learning block to make full use of the rich unlabeled samples in the financial data. Extensive experiments conducted on the public-listed corporate rating dataset prove that HHGNN achieves SOTA compared to the baseline methods.
源URL[http://ir.ia.ac.cn/handle/173211/55687]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
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Bo-Jing Feng, Xi Cheng, Hao-Nan Xu, Wen-Fang Xue. Corporate Credit Ratings Based on Hierarchical Heterogeneous Graph Neural Networks[J]. Machine Intelligence Research,2024,21(2):257-271.
APA Bo-Jing Feng, Xi Cheng, Hao-Nan Xu, Wen-Fang Xue.(2024).Corporate Credit Ratings Based on Hierarchical Heterogeneous Graph Neural Networks.Machine Intelligence Research,21(2),257-271.
MLA Bo-Jing Feng, Xi Cheng, Hao-Nan Xu, Wen-Fang Xue."Corporate Credit Ratings Based on Hierarchical Heterogeneous Graph Neural Networks".Machine Intelligence Research 21.2(2024):257-271.

入库方式: OAI收割

来源:自动化研究所

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