Graph Neural Network (GNN)

A GNN is a type of neural network designed to work directly on data represented as graphs. Unlike traditional networks that process individual data points, GNNs can learn patterns and relationships between connected entities, making them useful for social networks, molecular structures, and recommendation systems.