gnn

A type of neural network designed to operate on graph-structured data, which consists of nodes and edges representing relationships between them. Graph Neural Networks (GNNs) are particularly useful for tasks involving graph analysis, such as node classification, link prediction, and graph clustering, offering advanced capabilities in understanding complex relational data. GNNs are primarily targeted at researchers and practitioners in fields like social network analysis, bioinformatics, and recommendation systems, where understanding the relationships between entities is crucial.