To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...

A prime example is determining the maturity date in credit agreements, which usually involves deciphering a complex directive like “The Maturity Date shall fall on the last Business Day preceding the ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

We show that the critical probability for the frog model on a graph is not a monotonic function of the graph. This answers a question of Alves, Machado and Popov. The nonmonotonicity is unexpected as ...

Statistical inference for exponential-family models of random graphs with dependent edges is challenging. We stress the importance of additional structure and show that additional structure ...

According to Google, multiple weather agencies are already using the model to support their work. GraphCast is a so-called GNN, a specialized neural network optimized to process graphs.

Writer’s latest models can generate text from images, including charts and graphs Ron Miller 6:00 AM PST · February 27, 2024 ...