In this video, we will understand what is Stride in Convolutional Neural Network. While performing Convolution operation on an image, we move our filter by 1 pixel. It is called having the stride = 1.

The graph neural network (GNN) exhibits noteworthy performance in hyperspectral image classification (HSIC) due to its efficient message-passing structure, which employs the multilayer perceptron (MLP ...

Here, we develop two graph convolutional neural network (GNN) models for the prediction of the MP: one where we do not apply a data augmentation strategy and one where we apply a data augmentation ...

Please cite the following work if you want to use CGCNN. @article{PhysRevLett.120.145301, title = {Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material ...

While GCN and LSTM have achieved high prediction accuracy, few researchers have explored this approach in the context of MEG classification. To address the limitation of low accuracy in MEG multi-task ...

In recent years, superpixel-based graph convolutional networks (GCNs) have drawn increasing attention within the hyperspectral image (HSI) classification community. Due to the high-dimensional ...

They explore techniques like image resizing and data augmentation to address some of these challenges [19]. This study investigates the classification of skin diseases in a mobile application using ...

Meanwhile, it is difficult for a single graph convolutional network to aggregate both semantic and syntactic structural information of nodes, which affects the final sentence classification. To cope ...