Abstract: Graph neural networks (GNNs) are specifically designed for graph-structured data and have gained significant attention. However, training GNN on large-scale graphs remains challenging due to ...

Abstract: Polarimetric Synthetic Aperture Radar (PolSAR) holds significant potential for post-disaster building damage assessment. However, conventional methods often rely on simple change indices ...

Step-by-step tutorial perfect for understanding core concepts. Start here if you're new to Agentic RAG or want to experiment quickly. Focuses on the essential workflow without advanced features to ...

This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...

Parse Biosciences and Graph Therapeutics (Graph) today announced a strategic partnership to create one of the largest and most comprehensive immune cell perturbation atlases. The collaboration will ...