We present a linear-time subspace clustering approach that combines sparse representations and bipartite graph modeling. The signals are modeled as drawn from a union of low-dimensional subspaces, and ...

NIGHT OWLFor centuries, cities have been designed with clear goals in mind: maximize productivity, fortify defense, facilitate trade, ...

Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

Welcome back to college football in 2025. If you can believe it, I’ve been writing this graphing column for coming into my 10th year now. Scream emoji. Old man emoji. Some of you will also remember ...