Spaceland Embedding of Sparse Stochastic Graphs

We introduce a nonlinear method for directly embedding large, sparse, stochastic graphs into low-dimensional spaces, without requiring vertex features to reside in or be transformed into, a metric space.

SG-t-SNE-Π: Swift Neighbor Embedding of Sparse Stochastic Graphs

SG-t-SNE-Π is a high-performance software for swift embedding of a large, sparse, stochastic graph/network into a d-dimensional space (d = 1,2,3) on a shared-memory computer, especially on personal laptop and desktop computers.