Collaborative Metapath Enhanced Corporate Default Risk Assessment on Heterogeneous Graph

Author:

Zhang Zheng1ORCID,Ji Yingsheng1ORCID,Shen Jiachen1ORCID,Chen Yushu2ORCID,Zhang Xi3ORCID,Yang Guangwen2ORCID

Affiliation:

1. China Etek Service & Technology, Shanghai, China

2. Tsinghua University, Beijing, China

3. Beijing University of Posts and Telecommunications, Beijing, China

Funder

CAAI-Huawei MindSpore Open Fund

The National Key R&D Program of China

The Natural Science Foundation of China

Publisher

ACM

Reference55 articles.

1. Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014).

2. Wendong Bi Bingbing Xu Xiaoqian Sun Zidong Wang Huawei Shen and Xueqi Cheng. 2022. Company-as-Tribe: Company financial risk assessment on tribe-style graph with hierarchical graph neural networks. In KDD. 2712--2720.

3. Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen and Xueqi Cheng. 2023. Predicting the silent majority on graphs: Knowledge transferable graph neural network. In WWW. 274--285.

4. Dawei Cheng Yi Tu Zhen-Wei Ma Zhibin Niu and Liqing Zhang. 2019. Risk assessment for networked-guarantee loans using high-order graph attention representation. In IJCAI. 5822--5828.

5. Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014).

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