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safe-graph/graph-fraud-detection-papers

A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources

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1.9k
Forks
300
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Last push
1mo ago

About graph-fraud-detection-papers

graph-fraud-detection-papers is a free, open-source AI resource list by safe-graph. A curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources. It has 1.9k GitHub stars and 300 forks, and was last updated 1mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.

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Language
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Stars
1,900
Last update
1mo ago
Runs on Mac
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GPU
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Paid API key
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Self-hostable
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graph-fraud-detection-papers FAQ

Is graph-fraud-detection-papers free?

Yes. graph-fraud-detection-papers is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.

Does graph-fraud-detection-papers run on a Mac?

The project doesn't say. Check its installation guide before you start.

Does graph-fraud-detection-papers need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is graph-fraud-detection-papers still maintained?

It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.

What are alternatives to graph-fraud-detection-papers?

Similar free, open-source tools include 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, anomaly-detection-resources, CVPR2026-Papers-with-Code, KG-LLM-Papers.

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