We put forth a principled design of a neural architecture to learn nodal Adjacency Spectral
Embeddings (ASE) from graph inputs. By bringing to bear the gradient descent (GD) method …

Analysts studying relationships between people often face the problem of observation error.
Collecting information to map out a social network can overlook certain connections …

In its most basic form, the Random Dot Product Graph (RDPG) model assigns a low-
dimensional vector to each vertex, and postulates that an edge between any two nodes …