safe-graph/DGFraud-TF2
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
This tool helps fraud analysts and risk managers identify fraudulent activities by analyzing connections within your data. It takes transaction records or user activity data, represented as graphs, and outputs predictions about which accounts or activities are likely fraudulent. This helps financial institutions, e-commerce platforms, and social networks protect against scams and abnormal behaviors.
136 stars. No commits in the last 6 months.
Use this if you need to detect sophisticated fraud patterns by leveraging the relationships and connections between entities in your data.
Not ideal if your data lacks inherent relationship structures or if you are looking for a simple, rule-based fraud detection system.
Stars
136
Forks
35
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 20, 2022
Commits (30d)
0
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