Social graphs are a prime example of utilizing the graph model, Xu was working at Twitter till 2011, and the graph databases that were around at the time could not cope.

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

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.

Plus, it’s loaded with 55 pre-built graph algorithms that have been adapted by TigerGraph specifically to work against its graph database for things like PageRank, clustering, and centrality. Before ...

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.

Having worked for TomTom, I for a fact know that the routeplanning algorithm is A* with static (heavily preprocessed) map data, with added weights for traffic lights, corners, left turns.

Hi Guys, I am just playing with dijkstra algorithm in C# and got it working good but now I want to modify it to get all the possible paths from the start and target nodes. Any advise?