LONDON--(BUSINESS WIRE)--Graph technology and graph analytics are used across industries for different purposes, including social media analysis, risk analysis, fraud detection and prevention, and ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Probabilistic graphs and uncertain data analysis represent a rapidly evolving research domain that seeks to reconcile the inherent imprecision of real-world data with robust computational models. By ...

In an influential article in the February 1973 issue of The American Statistician Frank Anscombe remarked that "[m]ost textbooks on statistical methods, and most statistical computer programs, pay too ...

The Journal of the Operational Research Society, Vol. 56, No. 6 (Jun., 2005), pp. 699-707 (9 pages) The graph model for conflict resolution, an analysis paradigm for strategic conflicts, has mainly ...

Databases run the world, but database products are often some of the most mature and venerable software in the modern tech stack. Designers will pixel push, frontend engineers will add clicks to make ...