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

Dynamic graph algorithms and data structures represent a vital research frontier in computer science, underpinning applications from network analysis to real-time system monitoring. These methods ...

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

Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

With the rapid development of artificial intelligence (AI) technology, the graph database market is experiencing unprecedented growth, with an annual growth rate approaching 25%. Graph databases are ...

New techniques make graph databases a powerful tool for grounding large language models in private data.

The rise of graph databases is closely related to AI's demand for data processing. AI technology requires vast amounts of structured and unstructured data, which must not only be input into ...

Salesforce, Inc. (NYSE:CRM) is one of the 10 Best AI Software Stocks to Buy Now. On August 7, Salesforce, Inc. (NYSE:CRM) ...