Identity management for cybersecurity is inherently a complex graph problem due to the vast, dynamic, and interconnected nature of modern IT environments. The Fast Company Executive Board is a private ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

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 ...

When Daimler Truck Holding AG began the long and complex process of separating from Mercedes-Benz Group AG in 2021, it faced a daunting problem. Decades of tightly interwoven information technology ...

Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...

Collaboration Integrates Kineviz’s GraphXR Platform and SightXR AI with Ultipa Powerhouse, the Next-Generation Graph Platform, to Unlock Complex Data Relationships and Real-Time Graph Analytics Ultipa ...

Enables Real-Time, Zero-ETL Graph Queries on the Databricks Data Intelligence Platform Databricks Managed Iceberg Tables, launching in Public Preview at this year’s Data + AI Summit, offers full ...

Eliminates spreadsheet chaos and fragmented GRC tools through centralized governance of compliance controls—enabling organizations to publish controls, enforce standards, and validate evidence across ...