Abstract: Despite significant advancements in causal research on graphs and its application to cracking label imbalance, the role of edge features in detecting the causal effects within graphs has ...

especially in scenarios with limited labeled samples. To tackle these problems, we propose a novel approach called the Dual-Semantic Graph Convolution Network (DSGCN) for HSI classification in this ...