In this paper, we propose STGAMAM, which integrates Spatial-Temporal fusion Graph neural networks with a novel Adjacency Matrix and self-Attention Mechanisms to capture both long-term temporal ...

The boost of signal processing on graph has recently solicited research on the problem of identifying (learning) the graph underlying the observed signal values according to given criteria, such as ...

VGAResNet: A Unified Visibility Graph Adjacency Matrix-Based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds - rsarka34/VGAResNet ...

The process dramatically reduces the production cost of graphene in ceramics. Instead of starting with actual graphene (expensive), the process renders its own graphene out of inexpensive graphite, ...