Graph-based image segmentation frames an image as a weighted graph in which pixels or regions correspond to nodes, and edges encode similarity or affinity between neighbouring elements. By formulating ...

Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a ...