Node2vec is a popular algorithm used for generating embeddings of nodes in a graph. This algorithm works by generating random walks on the graph, which are sequences of nodes that represent a path through the graph. By sampling these random walks, node2vec aims to capture both the local and global structures of the graph, allowing it to generate embeddings that preserve the relational information between nodes. The resulting node embeddings can then be used for various tasks such as node classification, link prediction, and visualization.
This mind map was published on 12 November 2024 and has been viewed 14 times.