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 ...

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 ...

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 algorithms, graph analytics, and graph-based machine learning and insights are all good, accurate terms. And they are not mutually exclusive with "traditional" knowledge graphs either.

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.

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