ALT Figure 1. Diagram of the WD-ACGN architecture. Within the coupled module, multi-parameter input data undergoes SLTD extraction. Spatial dependencies are then ascertained through HDA graph learning. Subsequent results are optimized by the discriminator to minimize the WD distance relative to associated labels. Dashed lines indicate the direction of gradient flow.

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