A research team has developed a new technology that enables to process a large-scale graph algorithm without storing the graph in the main memory or on disks.

Jacob Holm was flipping through proofs from an October 2019 research paper he and colleague Eva Rotenberg—an associate professor in the department of applied mathematics and computer science at ...

KAIST’s tool – which is named “Trillion-scale Graph Processing Simulation,” or T-GPS – bypasses the storage step. Instead, T-GPS loads the smaller, real graph into its main memory. Then, it runs the ...

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

A puzzle that has long flummoxed computers and the scientists who program them has suddenly become far more manageable. A new algorithm efficiently solves the graph isomorphism problem, computer ...

Graph matching remains a core challenge in computer vision, where establishing correspondences between features is crucial for tasks such as object recognition, 3D reconstruction and scene ...

Chien will lead a team of UChicago computer science researchers including Henry Hoffmann, Yanjing Li, and Michael Maire; the team also includes graph computing experts from Purdue University and ...