Network embedding is a general-purpose machine learning technique that converts network
data from non-Euclidean space to Euclidean space, facilitating downstream analyses for the …

Dense subgraph discovery methods are routinely used in a variety of applications including
the identification of a team of skilled individuals for collaboration from a social network …

Label spreading is a general technique for semi-supervised learning with point cloud or
network data, which can be interpreted as a diffusion of labels on a graph. While there are …