To address these issues, we propose two key contributions: the introduction of a graph attention network (GAT) module to establish contextual relationships between pixels within patches and generate ...

Most existing graph neural networks (GNNs) are proposed without considering the selection bias in data, i.e., the inconsistent distribution between the training set with the test set. In reality, the ...