Published on: 2025-06-25 09:50:18
Foundation Models (FMs) have completely taken over unstructured data domains like natural language and images, delivering significant advances in performance across tasks with little to no task-specific training. Yet structured and semi-structured relational data, which represent some of the most valuable information assets, largely miss out on this AI wave. To use AI on relational data, practitioners still use conventional machine learning approaches and build per-task and per-dataset specific
Keywords: context data kumorfm model relational
Find related items on AmazonPublished on: 2025-08-06 08:13:17
In the world of enterprise data, the most valuable insights often lie not in individual tables, but in the complex relationships between them. Customer interactions, product hierarchies, transaction histories—these interconnected data points tell rich stories that traditional machine learning approaches struggle to fully capture. Enter Relational Graph Transformers: a breakthrough architecture that's transforming how we extract intelligence from relational databases. Relational Graph Transforme
Keywords: data graph node relational transformers
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