Graphs are collections of nodes connected by edges. They can be used to represent everything from a social network to road systems to the electrical connections on a circuit board. In circuit boards, ...

The community detection algorithms search for tightly connected groups of nodes. ArangoDB ‘s eponymous product is available as either a community license, an enterprise product, or an instance ...

Computer scientists use the word “graph” to refer to a network of nodes with edges connecting some of the nodes. The graph isomorphism question simply asks when two graphs are really the same graph in ...

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.

Professor tackles graph mining challenges with new algorithm. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 10 / 241018162554.htm ...

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.

Graph algorithms can solve a certain class of connected network problems more efficiently than other computational approaches. By treating a given piece of data as a node that is connected (via edges) ...

A puzzle that has long flummoxed computers and the scientists who program them has suddenly become far more manageable. A new algorithm efficiently solves the graph isomorphism problem, computer ...

Knowledge Graph Algorithm Update Summer 2019 (a.k.a. Budapest) ... If you are connected to Google, your brand will find Google’s Knowledge Graph much easier to navigate.

If the algorithm is lucky, the painting process will divide the graphs into many chunks of different colors, greatly reducing the number of possible isomorphisms the algorithm has to consider.