Simultaneously, these innovations lower adoption barriers for graph technology and GraphRAG for gen AI, enabling organizations to push the envelope on what’s possible for their data and their ...

OpenAI didn’t immediately respond to a request for comment. And while it’s unclear if OpenAI used GPT-5 to actually make the ...

From the 18th century to today, a number of graph algorithms have been developed. Path finding, centrality, community detection and similarity are some of the main classes of graph algorithms.

“Graph Relates Everything” is how Gartner put it when including graphs in its top 10 data and analytics technology trends for 2021. At Gartner’s recent Data & Analytics Summit 2021, graph ...

More information: Dawei Cheng et al, Graph neural networks for financial fraud detection: a review, Frontiers of Computer Science (2025). DOI: 10.1007/s11704-024-40474-y ...

To take one example, an oil and gas company in Singapore tried an LLM for its companywide searches, but as the AI didn’t know what it was looking at the results were of limited value.

For example, the KnowWhereGraph project at the University of California, Santa Barbara, is relying on the technology to pilot an open knowledge graph to connect data from several massive and ...

Knowledge Graph is a technology that enables other technologies to accelerate their growth, and it also enables humans to take stock of their own knowledge. This is why the future is Knowledge Graph.

Bar graphs and other charts provide a simple way to communicate data, but are, by definition, difficult to translate for readers who are blind or low-vision. Designers have developed methods for ...

In the realm of technology and data, graph databases capture the dependencies and relationship between data products, as opposed to a relational database that focuses on individual rows or products.