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

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what your brand is known for.

Words frequently used by ChatGPT, including “delve” and “meticulous,” are getting more common in spoken language, according to an analysis of more than 700,000 hours of videos and podcasts ...

Alliant is making good on its plans to build a modern, data-driven marketing platform through M&A. The audience platform announced Monday that it’s acquiring data insights and analytics company ...

News Media Tracker: How Americans Use and Trust News Sources Explore data on 30 major news sources with our interactive tool Americans now navigate a quickly changing information environment, with a ...

A csproj with a TargetFrameworks property should only be packed in the build of the project that has no TargetFramework global property defined. Traversal projects honor this, unless -graph is ...

Neo4j Inc. today announced a new serverless offering that dramatically simplifies the deployment of its graph database offering, making it easier to use with artificial intelligence applications ...

As a solution for the lost-in-space star identification problem we present Star Identification using Graph Neural Network (SIGNN), a novel approach using Graph Attention Networks. By representing the ...

MCP Agent Graph (MAG) is an agent development framework for rapidly building agent systems. This project is based on graphs, nodes, and MCP to quickly construct complex Agent systems. - ...