Guang Li

Hierarchical dynamic spatio-temporal graph neural network for aerial group target intention prediction

HMR uses three-layer encoding and cross-granularity bidirectional attention for multi-level feature fusion for multi-level feature fusion; SA-DHAT ensures the consistent modeling of heterogeneous formations relying on type-specific projection and adaptive temperature scaling; IEA-TM captures multi-scale tactical dynamics using multi-scale parallel temporal convolution and intention transition detection mechanisms.