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 ...
eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
IEEE

Atrial Fibrillation Detection Algorithm Based on Graph Convolution Network

Abstract: Atrial fibrillation (AF) is a common type of arrhythmia with a high incidence and risk, and it is difficult to monitor. Deep learning-based algorithms for AF detection have made preliminary ...
IEEE

Sleep EEG Signal Analysis using Graph Embedding Simplicial Convolutional Recurrent Attention Network with Duck Swarm Algorithm

Abstract: Sleep EEG Analysis (S-EEG-A) records brain activity to categorize sleep stages, identify patterns, and study disorders by frequency and waveform analysis. Sleep EEG signals are hard to ...

OpenCV 5.0 brings LLMs to the Computer Vision Library

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.