In the domain of hyperspectral image (HSI) classification, the majority of deep learning methods have necessitated a substantial number of manually annotated samples to achieve outstanding results.

Recently, multi-behavior recommendation has become a hot topic in the field of recommendation systems. Yet, existing methods still face challenges in effectively representing multi-behavior semantic ...