Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...

Background We evaluated the lower limb status of athletes after anterior cruciate ligament reconstruction (ACLR) during the propulsion and landing phases of a single leg hop for distance (SLHD) task ...

The assumption of safety under which Australians operated, that their schools and beaches were almost assuredly gun-free, has been shattered. by Richard Hall and Nandika Chatterjee by Nandika ...

Our writers' picks for the very best bands since rock became a permanent part of popular music. One thing is for sure every year around the time of the Rock & Roll Hall of Fame induction ceremonies — ...

Abstract: Graph Neural Networks (GNNs) have recently been utilized to build Collaborative Filtering (CF) models to predict user preferences based on historical user-item interactions. However, there ...

Betsy began her career in international finance and it has since grown into a comprehensive approach to journalism as she's been able to tap into that experience along with her time spent in academia ...

Abstract: Multivariate time series is prevalent in many scientific and industrial domains. Modeling multivariate signals is challenging due to their long-range temporal dependencies and intricate ...

To get started, head over to the latest release page on GitHub. From there, locate and download the ZIP file (ending with .zip). Once the download is complete, extract the ZIP file. On the first start ...

This project applies graph attention networks combined with topological analysis to detect anomalies in multivariate time series. It leverages research in topological graph neural networks and graph ...