CardioKG could enhance drug discovery for heart disease by integrating imaging data and biological information, improving ...

Abstract: For the classification of hyperspectral images (HSIs), most deep learning networks are data-driven and lack the usage of prior knowledge. In this letter, we propose a knowledge graph-guided ...

A simple way to give LLMs persistent memory across conversations. This server lets Claude or vscode remember information about you, your projects, and your preferences using a knowledge graph.

A map can take you on a journey, transporting you across continents and cultures all with a single glance. What started as a ...

Abstract: Knowledge graphs (KGs), with their flexible and expressive data model, are frequently used for management of large-scale data and knowledge in data-intensive domains, including business, ...