GitHub

Python Implementation of Graph and Directed Graph. Includes Edge/Adjacency List and Adjacency Matrix versions

Contains: 3 files, each a separate implementation of Graph and Directed Graph concepts: AdjacencyList2.py, AdjacencyMatrix.py, EdgeList.py AdjacencyList2.py uses an adjacency list to store vertices, ...
GitHub

VGAResNet: A Unified Visibility Graph Adjacency Matrix-Based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds

Chronic obstructive pulmonary disease (COPD) is one of the most severe respiratory diseases and can be diagnosed by several clinical modalities such as spirometric measures, lung function tests, ...
Frontiers

Dynamic graph attention network based on multi-scale frequency domain features for motion imagery decoding in hemiplegic patients

Brain-computer interfaces (BCIs) establish a direct communication pathway between the brain and external devices and have been widely applied in upper limb rehabilitation for hemiplegic patients.
IEEE

Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix

Abstract: Image clustering is a research hotspot in machine learning and computer vision. Existing graph-based semi-supervised deep clustering methods suffer from three problems: 1) because clustering ...
Europe PMC

Dynamic Correlation Adjacency-Matrix-Based Graph Neural Networks for Traffic Flow Prediction.

Modeling complex spatial and temporal dependencies in multivariate time series data is crucial for traffic forecasting. Graph convolutional networks have proved to be effective in predicting ...
Frontiers

Adaptive graph convolutional imputation network for environmental sensor data recovery

1 Department of Computer Science, Virginia Tech, Falls Church, VA, United States 2 Department of Computer Science, University of Central Florida, Orlando, FL, United States Environmental sensors are ...