Skip-Gram Neural Network for Graphs

This article will go into more details of node embeddings. If you lack intuition and understanding of node embeddings, check out this previous article that covered the intuition of node embeddings. But if you are ready. In the level-1 explanation of node embeddings I motivated why we need embeddings such that we have a vector form of graph data. Embeddings should capture the graph topology, relationships between nodes and further information.