KumoRFM is a pioneering relational foundation model designed for predictive tasks on relational databases without task-specific training. Unlike traditional approaches, it leverages in-context learning over relational data structures, utilizing a novel Relational Graph Transformer to make rapid and accurate predictions across various domains, thus achieving better performance than many conventional methods.
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