In this experiment, we analyzed the overall accuracy within the range of a ∈ [0,1] and set a to 0.9, as shown in Figure 1 below. When a is taken as 0.9, the best accuracy is achieved on the Indian, Salinas, and WHU-Hi HongHu datasets. As a gradually decreases, the model contains less important graph structure information, which affects the classification performance of the model. Therefore, for all three datasets, a was set to 0.9 in the experiment.
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