Graph algorithms and spanners have emerged as a critical area of research in computer science, underpinning both theoretical advances and practical applications such as network design, routing ...

Where Graph Theory Meets The Road: The Algorithms Behind Route Planning 33 Comments by: Maya Posch April 4, 2024 ...

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

We asked Alexander Smirnov, creator of GraphX, to explain what graph visualization is and how it can be used to help users understand complex data.

Graph database and analytics software company TigerGraph has expanded its data science library to more than 50 algorithms.

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 ...

Imagine your database of choice blown out of the water by a startup emerging from stealth. TigerGraph may have done just that for graph databases.

In practice, many algorithms always seem to work efficiently. But in theory, there is no guarantee. In an arXiv preprint, researchers from the Kwan Group at the Institute of Science and Technology ...

The graph database is popular with social networks, but there's no reason to limit it to tracking people and their friendships.