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 |
DOI | 10.1007/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 |
推荐引用方式 GB/T 7714 | 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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。