jihwanw/network-neurosymbolic-fraud-detection: v1.0 - Scientific Reports submission
Abstract
Initial release of the analysis code for: "Network-Enhanced Neuro-Symbolic Framework for Financial Fraud Detection: Integrating Corporate Network Topology with Interpretable AI" Submitted to Scientific Reports. Contents network_enhanced_fraud_detection.py — Complete analysis pipeline (data preprocessing, network construction, model training, evaluation) requirements.txt — Python dependencies README.md — Usage instructions and data access guide Note Raw data from WRDS Audit Analytics and Compustat is not included due to license restrictions. See README for data access instructions.
Fields of Study & Subjects
Financial Distress and Bankruptcy Prediction
Corporate Governance and Financial Management
Imbalanced Data Classification Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 4 March 2026
- Language
- EN