Enhancing financial fraud detection with hierarchical graph attention networks: A study on integrating local and extensive structural information
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DOI: 10.1016/j.frl.2023.104458
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References listed on IDEAS
- Zhang, Yi & Hu, Ailing & Wang, Jiahua & Zhang, Yaojie, 2022. "Detection of fraud statement based on word vector: Evidence from financial companies in China," Finance Research Letters, Elsevier, vol. 46(PB).
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- Ouyang, Zi-sheng & Yang, Xi-te & Lai, Yongzeng, 2021. "Systemic financial risk early warning of financial market in China using Attention-LSTM model," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
- Achakzai, Muhammad Atif Khan & Juan, Peng, 2022. "Using machine learning Meta-Classifiers to detect financial frauds," Finance Research Letters, Elsevier, vol. 48(C).
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Keywords
Financial risk identification; Graph structure; Multi-head self-attention; Hierarchical graph attention network;All these keywords.
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