Researchers have introduced Odin, a graph intelligence engine designed to autonomously discover meaningful patterns in knowledge graphs without requiring predefined queries. Odin utilizes the COMPASS score, a novel metric that combines structural importance and other signals to guide exploration. This approach enables the engine to identify significant relationships and entities within the graph, making it a valuable tool for knowledge discovery. The COMPASS score is calculated based on multiple factors, including Persona, which assesses the structural importance of nodes in the graph1. By leveraging this metric, Odin can effectively navigate complex knowledge graphs and uncover hidden patterns. This capability has significant implications for practitioners, as it allows them to uncover new insights and relationships without being limited by predefined queries, so Odin's autonomous discovery capabilities matter to practitioners seeking to extract maximum value from their knowledge graphs.