safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
This tool helps financial fraud analysts and risk managers identify suspicious activities and fraudulent accounts by analyzing complex relationships in their data. It takes transaction records, user behavior logs, or review datasets with connections between entities as input, and outputs predictions about which accounts or activities are likely fraudulent. It's designed for professionals who need to detect sophisticated fraud patterns that might be hidden within interconnected data.
750 stars. No commits in the last 6 months.
Use this if you need to detect fraud by analyzing complex relationships and hidden patterns within interconnected data, like transactions, user accounts, or reviews.
Not ideal if your fraud detection needs are basic and don't involve analyzing relationships between different entities, or if you require an unsupervised detection method.
Stars
750
Forks
165
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 20, 2022
Commits (30d)
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