This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...

Notes on sandboxing untrusted Python Python’s dynamism makes it difficult to run untrusted code safely. Developer Mohamed Diallo discusses some ways that Python interpreters could be made easier to ...

When considering Miguel Arzabe’s bold, woven works, it’s unsurprising that he begins by painting two abstract pieces. Vibrant fields of acrylic spread across his canvases before they’re sliced into ...

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 ...

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 ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

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 ...

Abstract: This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and ...

I want to use batching or dynamic batching with a decoupled python model. However the usual approach of iterating over requests and appending tensor to a global list does not work. The reason for this ...

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