Graph Algorithms: Computational procedures designed to solve problems related to graph structures, encompassing processes such as traversal, shortest path determination, and network flow analysis.

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.

The vehicle trajectories. a The Awesome GINS Dataset which was collected in an open-sky industrial area in Wuhan. b The second dataset which was c ...

Introduction This paper presents a graph cut approach to the image segmentation task. Considering the image to be a directed graph with two nodes representing the source (object) and the sink ...

Last fall, the folks in Facebook's engineering team talked about how they employed the Apache Giraph engine to build a graph on its Hadoop platform that can host more than a trillion edges. While the ...

Simulated annealing is a randomized technique proposed by S. Kirkpatrick, C. D. Gelatt and M. P. Vecchi for improving local optimization algorithms. Here we report on experiments at adapting simulated ...

Tested against leading benchmarks, OiSAM-FGO cut optimization time by over 50% yet matched state-of-the-art performance, far outpacing traditional Kalman filters.