This repository provides implementations of classical graph embedding algorithms including DeepWalk, LINE, node2vec, SDNE, and struc2vec. These algorithms learn low-dimensional vector representations of nodes in a graph by preserving structural or proximity information, similar to how Word2vec learns word embeddings from textual corpora.