Nvidia has expanded its support of NetworkX graph analytic algorithms in RAPIDS, its open source library for accelerated computing. The expansion means data scientists can run 40-plus NetworkX ...

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

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.

Graph technologies are predicted to be used in 80% of data and analytics innovations by 2025, according to research firm Gartner, up from just 10% this year. TigerGraph says that graphs will ...

Once the data is ingested, it is transformed to a graph model where the real power of the graph comes in the form of algorithms. For larger businesses, Memgraph 2.0’s Enterprise Edition ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for ...