D
DGFraud
safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
★758stars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Security & Governance category, core strengths: anomaly-detection/datamining
Who made it?Maintained by safe-graph team, 758⭐ on GitHub, #157 out of 413 in Security & Governance
Why does it exist?The safe-graph team recognized that existing anomaly-detection tools in Security & Governance were hard to use. DGFraud was designed to make datamining more accessible.
What can it do?Key use cases: datascience, dblp-dataset, financial-engineering
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/safe-graph/DGFraud
🔗 github.com/safe-graph/DGFraud
Topics
anomaly-detectiondataminingdatasciencedblp-datasetfinancial-engineeringfraud-detectionfraud-preventiongraphgraph-algorithmsgraph-convolutional-networksgraph-neural-networksgraphneuralnetworkmachine-learningopensourceoutlier-detectionsecuritysecurity-toolsspamdetectiontoolkityelp-dataset