Rank #7,161 788 starsPython

Explainable-AI-in-Financial-Fraud-and-Anomaly-Detection

by jiyuanwang-afk (personal account)

This repository explores explainable deep learning models for financial fraud detection and anomaly analysis. It integrates Graph Neural Networks (GNNs), Autoencoders, and SHAP-based explainability to identify and interpret fraudulent behaviors in transactional data. (description from the project’s GitHub page)

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Stars: 788
Forks: 15
Open issues and pull requests: 8
Primary language: Python
License: No license file detected
Owner: jiyuanwang-afk · Personal account
Created: Oct 20, 2025
Last push: Oct 20, 2025

Rank #7,161 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

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