I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Breaking the data bottleneck: Salesforce’s ProVision speeds multimodal AI training with image scene graphs Shubham Sharma @mr_bumss January 10, 2025 10:35 AM Credit: VentureBeat made with Midjourney ...

TigerGraph The TigerGraph Analytics Platform combines a graph storage engine, a graph processing engine, and three types of API. It can run on-premises, in the cloud, or in a hybrid configuration.

That information would include people, places or things related to the image from the Knowledge Graph’s database of billions of facts, helping you explore the topic more.” What it looks like.

Lyft's "Amundsen" metadata system is an example of how knowledge graphs are spreading throughout companies with grass-roots projects. It's all part of winning hearts and minds, in the view of ...

The flexibility offered by a knowledge-graph-powered data catalog enables near-immediate support for new types of data sources; a knowledge graph makes it easy to extend the model to represent ...