While the main data graph showed all the relationships among factors, the team's complementary, "sparser" graph showed only what the scientists call conflicts within the data.

Moreover, a few parallel dynamic graph algorithms (such as the graph connectivity ... Moreover, the total memory required to store these data structures of this sequential dynamic APSP algorithm ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

“Data and analytics leaders should use graph analytics ... 65 ready-to-use graph algorithms and is optimized for high-performance AI applications, with support for parallel workflows ensuring ...

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.

COMPANY ANNOUNCEMENT: Serverless offering with 65+ ready-to-use algorithms ... Aura Graph Analytics, a new serverless offering that for the first time can be used seamlessly with any data source ...

That’s where David Meza, acting branch chief of people analytics and senior data scientist at NASA, believes graph ... parallel on other issues: what’s the model going to look like, what ...

It’s often assumed that Dijkstra’s algorithm, or the A* graph traversal algorithm is used, but the reality is that although these pure graph theory algorithms are decidedly influential, they ...