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

This course is available on the MSc in Data Science, MSc in Geographic Data Science, MSc in Health Data Science, MSc in Operations Research & Analytics, MSc in Quantitative Methods ... beneficial.

Entities and Relations for representing individual pieces of data, and Types for adding structure to information.” Entities, Relations and Types are defined by developers. The Graph will ...

A Real-Time, Real Data “What If” Engine Graph analytics is a set of analytic techniques that shows ... companies can create a digital representation of a system or process (e.g., an automotive ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

These efforts have yielded interesting results about the limits of graphs and the possibilities of scaling up. “Now we know that the network is just the shadow of the thing,” Grochow said. If a data ...

and their representation techniques (e.g., linking, arrays). Introduces concepts used in algorithm design and analysis including criteria for selecting data structures to fit their applications.