Graph neural network (GNN)

A Graph Neural Network (GNN) is a type of neural network designed to process data represented in graph form. It is particularly useful for tasks where data points are interconnected, such as social networks, molecular structures, and communication networks. GNNs can capture the relationships and interdependencies between nodes in a graph, enabling more effective learning from non-Euclidean data structures.