Phytophthora root and stem rot in soybeans results in substantial economic losses worldwide. In this study, a machine learning model based on a heterogeneous interaction graph attention network model ...

Consequently, we propose a temporal–spatial graph network with a learnable adjacency matrix to address this gap. It provides a novel strategy to capture and quantify the correlations between the ...

The core of the graph attention convolutional network is the adjacency matrix, which determines the direction of feature flow between different graph nodes. Considering the specificity of brain ...

A. Roy, A. Thakur and U. Satija, "VGAResNet: A Unified Visibility Graph Adjacency Matrix-Based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds," in IEEE Sensors ...

where W(l) is a weight matrix for the l -th neural network layer. Here, Â = A + I, where I is the identity matrix, ˆD D ^ is the diagonal node degree matrix of Â, and σ (·) is a non-linear activation ...

Graphs are everywhere around us. Your social network is a graph of people and relations. So is your family. The roads you take to go from point A to point B constitute a graph. The links that ...