Dynamic Indicator Cluster Extraction for Combat Systems of Systems Based on Spatiotemporal Graph Association Learning
To address indicator associations that vary with mission phase, temporal evolution, and task conditions in highly dynamic air and missile defense missions, this paper proposes STG-ICENet, a method for extracting dynamic indicator clusters. The method jointly models indicator time windows, lagged local relation graphs,...