Our contribution is an algorithm which utilizes random projection to produce embeddings which achieve performant clustering results for fully-dynamic streaming graph models. Instead of relying on an ...

In biology, similar graph-clustering algorithms can be used to understand the proteins that perform most of life's functions. It is estimated that the human body alone contains about 100,000 ...