IEEE

Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
IEEE

Graph Attention Contrastive Learning for Few-Shot Semi-Supervised Node Classification

Abstract: While graph neural networks (GNNs) excel in graph data analysis, most methods rely on extensive labeled data, which is often impractical due to labeling costs and complexity. To address this ...