The effort will reinvent computer architecture, dramatically increasing efficiency and scalability for graph computing. Such a scope will be necessary to efficiently analyze the world’s largest graphs ...

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.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Engineers could use this breakthrough in graph theory to design wildly efficient quantum computer chips.

We present a fast graph cut algorithm for planar graphs. It is based on the graph theoretical work and leads to an efficient method that we apply on shape matching and image segmentation. In contrast ...

Weighted matching identifies a maximal subset of edges in a graph such that these edges do not share any vertices in common with each other. As a prototypical graph problem, matching has numerous ...

About Implementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.