Graph Neural Network

A neural network architecture designed to operate on graph-structured data, where information is represented as nodes and edges rather than sequences or grids. GNNs learn representations by aggregating information from a node's neighbors, making them well-suited for tasks like social network analysis, molecular property prediction, and knowledge graph reasoning.
See also: knowledge graph, neural network, embedding.