Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...

Abstract: Extracting spatial–spectral joint features has become a critical approach for improving model classification performance in the field of hyperspectral image classification (HSIC). However, ...

Join us on Wednesday, November 11th at noon Pacific for Learning SDR and DSP Hack Chat with Marc Lichtman! “Revolution” is a term thrown about with a lot less care than it probably should be, ...

This year’s Q2B meeting took place at the end of last month in Paris at the Cité des Sciences et de l’Industrie, a science museum in the north-east of the city. The event brought together more than ...

In this project, we develop a GCN model to classify nodes within a social network graph. The dataset contains features for each user (node), edges representing relationships, and target labels ...

The FFC (Fast Fourier Convolution) hardware accelerator is a specialized System-on-Chip (SoC) implementation designed to accelerate deep learning workloads, particularly for ResNet-like architectures.