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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 (a) shows the two one-dimensional graph states chain (linear cluster) and star on the left, one above the other, and the two-dimensional graph states box and two variants of the ring on the ...

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 ...

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 ...

Online recommendation is moving into a new phase as transformers begin to reshape how graph-based systems understand users, items, and their hidden connections.