How AWS uses graph neural networks to meet customer needs

Graphs are an information-rich way to represent data. A graph consists of nodes -- typically represented by circles -- and edges -- typically represented as line segments between nodes. In a knowledge graph, for instance, the nodes represent entities, and the edges represent relationships between them. In a social graph, the nodes represent people, and an edge indicates that two of those people know each other. At Amazon Web Services, the use of machine learning (ML) to make the information encoded in graphs more useful to our customers has been a major research focus.