Reinforcement learning with graph neural network (RL-GNN) fusion for real-time financial fraud detection: a context-aware community mining approach.
- DOI
- 10.1038/s41598-025-25200-3
- Published
- 2025 Dec 1
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-25200-3,
title = {Reinforcement learning with graph neural network (RL-GNN) fusion for real-time financial fraud detection: a context-aware community mining approach.},
author = {Devi RR and Raja JE and Chin YB},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-25200-3},
url = {https://doi.org/10.1038/s41598-025-25200-3}
}RIS
TY - JOUR TI - Reinforcement learning with graph neural network (RL-GNN) fusion for real-time financial fraud detection: a context-aware community mining approach. AU - Devi RR AU - Raja JE AU - Chin YB PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-25200-3 UR - https://doi.org/10.1038/s41598-025-25200-3 ER -
APA
RR, D., JE, R., & YB, C. (2025). Reinforcement learning with graph neural network (RL-GNN) fusion for real-time financial fraud detection: a context-aware community mining approach.. Scientific reports. https://doi.org/10.1038/s41598-025-25200-3
Source records
- pubmed · retrieved 2026-09-25T18:36:53.637Z