Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...

Introduction: Adolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation. Traditional detection methods, such as ...

Abstract: Graph convolutional networks (GCNs) exhibit remarkable capabilities in hyperspectral image (HSI) classification tasks, primarily due to their ability to establish long-range pixel ...

The field of graph drawing and crossing numbers occupies a pivotal position at the intersection of computational geometry and network visualisation. Researchers in this domain strive to develop ...

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at Institute ...

The code snippet demonstrates the basic usage of the viewer. using System; using System.Collections.Generic; using System.Windows.Forms; class ViewerSample { public static void Main() { //create a ...