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 ...

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

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 ...