Network embedding is a technique used to transform nodes, edges, or entire subgraphs of a network into a lower-dimensional space while preserving the network's structural properties and relationships. This transformation facilitates tasks like node classification, link prediction, and visualization by enabling the application of machine learning algorithms on network data.