Hackaday

Creating Python GUIs With GIMP

GUI design can be a tedious job, requiring the use of specialist design tools and finding a suitable library that fits your ...
IEEE

Finding Neural Biomarkers for Motor Learning and Rehabilitation Using an Explainable Graph Neural Network

Abstract: Human motor learning is a neural process essential for acquiring new motor skills and adapting existing ones, which is fundamental to everyday activities. Neurological disorders such as ...
GitHub

Graph build with traversal projects packs each TargetFramework of multi-targeting projects

Then run dotnet pack -graph -bl. You'll likely see the break. And if you don't, you can try again (after removing build artifacts), or just inspect the .binlog to see that too many GenerateNuspec ...
IEEE

Cooperative Spectrum Sensing Using Weighted Graph Sparsity

Abstract: Graph has been proven to be an emerging tool for spectrum sensing (SS), with detection performance closely related to the graph characteristics. Existing graph-based SS has been mainly ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

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 ...