Posterior-aware multi-agent subgraph reasoning for explainable multi-hop inference in economic supply-chain dependency graphs

Knowledge graphs are increasingly used to model complex multi-relational dependency structures in domains such as economic supply chains, where firms, suppliers, products, facilities, and locations interact through heterogeneous relations. Multi-hop reasoning over such graphs can uncover implicit dependencies and risk exposures, but remains challenging because knowledge graphs are often incomplete and decision-making in high-stakes settings requires explicit, human-understandable evidence. We pr