graph-neural-networks

Graph Neural Networks (GNNs) are specialized neural networks that operate on graph-structured data, allowing them to capture relationships and patterns between nodes effectively. They are particularly useful in applications such as social network analysis, recommendation systems, and molecular biology. GNNs leverage the connections between data points to improve learning and prediction accuracy.