Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Visual aids like graphs and charts are powerful tools for conveying statistical information. However, they should be used thoughtfully to represent uncertainty without overwhelming your audience.

Revolutionize graph machine learning with large language models (LLMs)! Uncover groundbreaking strategies integrating the might of LLMs like ChatGPT with graph neural networks (GNNs) for unmatched ...

Addition of a new Crate named intervals-general which supports rigorous interval definitions (e.g. type-enforced representations of all real interval types), interval collections and common interval ...

Key Points A multi-vari chart is a visual means of seeing multiple variations across a single data set. It is not a ...

These representations are dense and cannot be dynamically updated on the map, so they are not easy to decompose. The method developed by the team can efficiently describe the scenes with graph ...

The key to solving the problem of destination prediction is to make full use of the deep features of traffic spatial-temporal data. Many studies have begun to improve the graph convolution network ...

Read higher-order graph representation vectors are spliced together to integrate complementary information at the multi-scale graph. The final classification results are obtained through three ...