Graph algorithms constitute a fundamental area of computational research that focuses on the analysis and manipulation of graph structures, which represent systems of interconnected entities. In ...

Back in the hazy olden days of the pre-2000s, navigating between two locations generally required someone to whip out a paper map and painstakingly figure out the most optimal route between those ...

Graph algorithms and processing form the backbone of numerous applications across science and industry, ranging from social network analysis to large-scale data management. The field has evolved to ...

Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a ...

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...

In the world of high performance computing, there are benchmarks and then there are other benchmarks. Thanks to the TOP500 list, now in its 24th year, the LINPACK benchmark has become the most visible ...

I'm tasked to write a layout panel and library to display a directional left-right graph with a single source and sink node. Most of the documents I'm finding online are heavily detailed on the theory ...

Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of ...

Erik Saule and Umit V. Catalytirek from Ohio State University have published a new paper examining the scalability of the upcoming Intel MIC architecture on Graph algorithms. Graph algorithms are ...