Graph neural networks (GNNs) are capable of modeling graph data using various types of nodes and edges, and thus can be widely used in the fields of recommender systems and bioinformatics. However, ...

Text Chunking: Automatically splits large documents into manageable chunks for processing Knowledge Extraction: Uses AI to identify entities and their relationships Entity Standardization: Ensures ...

The data-driven approach has become significant in various scientific fields, such as climate modeling and weather forecasting, where a mechanistic description of physics and chemistry is either ...

As a CHRO or Chief Learning Officer, there are things you wish you had, but likely don't: a fast way to find internal experts, a simple method to extract ...

A knowledge graph querying framework for JavaScript Flexible SPARQL and GraphQL over decentralized RDF on the Web. Learn more about Comunica on our website. Comunica is an open-source project that is ...