Abstract: Graph neural networks have pushed state-of-the-arts in graph classifications recently. Typically, these methods are studied within the context of supervised end-to-end training, which ...

Abstract: Graph attention network (GAT) has a wide range of applications in HSI classification. The GAT-based semi-supervised learning approach enables the integration of valuable information from ...

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