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arXiv · 2505.08964

GPML: Graph Processing for Machine Learning

Majed Jaber·Julien Michel·Nicolas Boutry·Pierre Parrend
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Abstract

The dramatic increase of complex, multi-step, and rapidly evolving attacks in dynamic networks involves advanced cyber-threat detectors. The GPML (Graph Processing for Machine Learning) library addresses this need by transforming raw network traffic traces into graph representations, enabling advanced insights into network behaviors. The library provides tools to detect anomalies in interaction and community shifts in dynamic networks. GPML supports community and spectral metrics extraction, enhancing both real-time detection and historical forensics analysis. This library supports modern cybersecurity challenges with a robust, graph-based approach.

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Majed Jaber, Julien Michel, Nicolas Boutry, Pierre Parrend. 2025-05-13. GPML: Graph Processing for Machine Learning. https://arxiv.org/abs/2505.08964

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