Abstract: In the process of updating a dynamic graph, an update to one edge may result in the addition or deletion of multiple triangles, while an update to multiple edges may only result in the ...

According to @godofprompt, graph databases offer superior efficiency for dynamic updates in AI-powered knowledge bases compared to traditional vector search methods. When using vector search, any ...

Abstract: Dynamic graph representation learning aims to generate low-dimensional latent vector representations of graphs or nodes at various time points from evolving graph datas, which are then used ...

Introduction: Sleep disorders pose significant risks to patient safety, yet traditional polysomnography imposes substantial discomfort and laboratory constraints. We developed a non-invasive ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Although four years have passed since its release, the adventures of Spider-Man from Insomniac Games are still captivating. It would seem that the gameplay and story are familiar – but once you put on ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...