Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings

Keith Levin, Fred Roosta, Minh Tang +2

Graph embeddings, a class of dimensionality reduction techniques designed for relational data, have proven useful in exploring and modeling network structure. Most dimensionality r…