GitHub

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction

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 ...
IEEE

Implementation of a Computational Intelligence System to Identify Respiratory Distress from Digital Signal Processing of Voice

This paper presents a computational intelligence system that allows us to identify people with respiratory distress in an automatic and non-invasive way. This is accomplished through the digital ...
GitHub

Graph Positional Autoencoders as Self-supervised Learners (GraphPAE)

accelerate==0.33.0 numpy==1.24.4 ogb==1.3.6 pandas==2.2.3 PyYAML==6.0.2 rdkit_pypi==2022.9.5 scikit_learn==1.3.2 scipy==1.8.1 torch==2.1.2+cu121 torch_geometric==2.6.1 torch_scatter==2.1.2+pt21cu121 ...
IEEE

Computational Disease-Gene Association Prioritization Using Graph Neural Networks and Attention Mechanisms

Abstract: Predicting disease-gene associations is crucial in human health for understanding the genetic basis of diseases, identifying potential therapeutic targets, and advancing personalized ...
洗護用品和肥皂

EU: Danish Institute for Human Rights calls for effective implementation of CSDDD & CSRD after Omnibus I adoption

'Danish Institute for Human Rights calls for strong implementation of EU sustainability rules after Omnibus I' With the EU’s adoption of the revised Corporate Sustainability Due Diligence Directive ...