AI-powered framework combines CNNs and knowledge graphs to detect credit risk early in internet finance firms, enhancing prediction accuracy and decision transparency.

Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

Learn how GraphRAG transforms unstructured text into structured data, revolutionizing AI retrieval with deeper insights and ...

is usually expressed as opinions includes descriptive information is gained using open-ended questions, eg ‘What do you like about the product and why?’ It provides a business with detailed ...

On Twitter, Stephen Fowler, a reporter for the local radio station GPB News, pointed out the inconsistent data representation. On the horizontal x-axis, the graph began on April 28, went back in ...