safe-graph/graph-fraud-detection-papers
A curated list of academic papers on graph neural networks, transformers, and LLMs applied to fraud, anomaly, and outlier detection.

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This repository aggregates academic papers and resources on graph-based and transformer-based methods for fraud, anomaly, and outlier detection. It organizes papers by year and type, includes a toolbox section, datasets, and surveys. The project also provides a RAG-based LLM chatbot backed by 250 publicly accessible papers to facilitate deep research into the listed literature.