Global confidence degree based graph neural network for financial fraud detection
Graph Neural Networks (GNNs) are widely used in financial fraud detection due to their excellent ability on handling graph-structured financial data and modeling multilayer connections by aggregating information of neighbors. However, these GNN-based methods focus on extracting neighbor-level inform...
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| Main Authors: | Jiaxun Liu, Yue Tian, Guanjun Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
ELS Publishing (ELSP)
2025-04-01
|
| Series: | Artificial Intelligence and Autonomous Systems |
| Subjects: | |
| Online Access: | https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/AIAS/2025/aias20250004.pdf |
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