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 ...

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. A KAIST research team has developed a new ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

There's nothing like good old-fashioned cash inducements to get the creative juices flowing. Graph analytics software maker TigerGraph is dipping deeply into its bank account in a global search to ...

With a $9.2 million grant from Intelligence Advanced Research Projects Activity (IARPA), Prof. Andrew A. Chien will lead a team of University of Chicago computer science researchers building the ...

PORTLAND, Ore. — “Attack graphs” help predict the risk that hackers can crack a computer system's security, plus identify its most vulnerable resources, according to the National Institute of ...