Until the nineteenth century, Friendly and Wainer tell us, most modern forms of data graphics—pie charts, line graphs, and bar charts—tended to have a one-dimensional view of their data ...

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

· Visualizing data: Generative AI can generate analytics reports in an easy-to-digest format – presenting insights from the data not just as text narratives but also in a visual format (graphs ...

Attributed graphs are widely used to represent network data where the attribute information of nodes is available. To address the problem of identifying clusters in attributed graphs, most of existing ...

Concept drift, characterized by changes in data distribution over time, has always been an inevitable problem in nonstationary data stream environments. Multistream scenarios are particularly complex ...