benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
This is a comprehensive collection of research papers focused on various techniques for detecting fraud, drawn from top conferences in data mining, AI, and network science. It offers a structured list of academic studies covering different fraud detection methodologies, including those utilizing graph neural networks and machine learning. This resource is designed for researchers, data scientists, and analysts who are exploring cutting-edge solutions for fraud prevention and detection.
1,784 stars.
Use this if you are a fraud analyst, data scientist, or researcher looking for academic papers on advanced fraud detection methods to inform your strategy or develop new systems.
Not ideal if you are seeking off-the-shelf software, code implementations, or practical how-to guides for immediate application, as this is a curated list of research papers.
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Jan 05, 2026
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