Graph Embedding

Graph embedding is a technique that maps the structure of a network into a vector space, aiming to preserve key properties and structural information of the network. By learning low-dimensional representations of nodes, graph embedding can capture complex relationships between nodes, providing strong support for downstream tasks such as node classification, link prediction, and clustering.