Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

Abstract: The automated extraction of complete and precise road network graphs from remote sensing imagery remains a critical challenge in geospatial computer vision. Segmentation-based approaches, ...

Abstract: Graph representation learning has become a vital tool for capturing intricate relationships within networked systems. However, as graphs scale up, data privacy concerns and regulatory ...