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Yes. Timbr runs graph algorithms natively over SQL ontologies mapped to relational data, with no data export, ETL, or external graph database required. The default implementation uses Python NetworkX, with support for Nvidia CuGraph for GPU-accelerated performance. Supported algorithms include PageRank, community detection, fraud detection, similarity scoring, and more – all queryable directly from BI, ML, and AI tools using standard SQL.
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