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.

But what it doesn’t do well is map relationships between many things, so when you try to model a complex organization, it’s really hard to do. If you think about a person, for example, you might ask ...

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 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.

Graph database developer Neo4j Inc. is upping its machine ... more accessible to mainstream data science algorithms. ... graph relationships don’t map cleanly to the lower ...

Streaming graph application platform startup Memgraph Ltd. announced today that it has closed on a $9.34 million seed funding round. The round, which came as the company launched Memgraph 2.0, was ...

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?