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Abstract: For the classification of hyperspectral images (HSIs), most deep learning networks are data-driven and lack the usage of prior knowledge. In this letter, we propose a knowledge graph-guided ...

Abstract: As the application of knowledge graphs becomes increasingly widespread, the issue of knowledge graph incompleteness has garnered significant attention. As a classical type of non-euclidean ...