Graph Neural Networks (GNN): Foundations, Architectures, Applications, and Future Directions
Executive Summary Graph Neural Networks (GNNs) represent a transformative class of neural networks uniquely designed to process and learn from non-Euclidean, graph-structured data. Their fundamental purpose lies in capturing complex Read More …