Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

Graph neural networks (GNNs) are powerful artificial intelligence (AI) models designed for analyzing complex, unstructured graph data. In such data, entities are represented as nodes and ...

1. Seek Out Comprehensive Data First, selecting relevant and critical data sources is important; if you include only one geographical area for global customers, the results will be biased.

Visibility in Google search results of some of the UK’s biggest national news publishers has dropped by up to 80% compared to ...

At the core of Microsoft’s strategy, MSEM leverages graph technology to dynamically map relationships across digital estates, including devices, identities and data.

NEW YORK and PARIS, June 21, 2024 — CAST, a global leader in software intelligence, announced a strategic research collaboration with the Laboratoire d’InfoRmatique en Image et Systèmes d’information ...

The sources cited in Google AI Overviews now match one or more of the webpages from the top 10 Google organic search results 99.5% of the time. This new data was shared on LinkedIn by Mark ...