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Odin: Multi-Signal Graph Intelligence for Autonomous Discovery in Knowledge Graphs

arXiv – CS AI|Muyukani Kizito, Elizabeth Nyambere|March 4, 2026 at 05:00 AM|1 views

🤖AI Summary

Researchers present Odin, the first production-deployed graph intelligence engine that autonomously discovers patterns in knowledge graphs without predefined queries. The system uses a novel COMPASS scoring metric combining structural, semantic, temporal, and community-aware signals, and has been successfully deployed in regulated healthcare and insurance environments.

Key Takeaways

→Odin is the first autonomous graph intelligence system deployed in production for regulated industries like healthcare and insurance.
→The COMPASS scoring system combines four signals: structural importance, semantic plausibility, temporal relevance, and community-aware guidance.
→The system addresses the 'echo chamber' problem where graph exploration gets trapped in dense local communities through bridge scoring mechanisms.
→Beam search with multi-signal guidance achieves O(b·h) complexity while maintaining high recall compared to exhaustive exploration.
→Complete provenance traceability is maintained, which is critical for regulated industries where hallucination is unacceptable.

#graph-intelligence #knowledge-graphs #autonomous-discovery #ai-research #production-deployment #healthcare-ai #pattern-recognition #neural-networks #regulated-industries

Read Original →via arXiv – CS AI

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