In this paper. we propose a new approach for learning node embeddings for weighted undirected networks. We perform a random walk on the network to extract the latent structural information and perform node embedding learning under a similarity-based framework. Unlike previous works. https://vacuumdoctores.shop/product-category/obsolete-parts-with-alternative-or-secondhand-available/