IEEE

STr-GCN: Dual Spatial Graph Convolutional Network and Transformer Graph Encoder for 3D Hand Gesture Recognition

Abstract: Skeleton-based hand gesture recognition is a challenging task that sparked a lot of attention in recent years, especially with the rise of Graph Neural Networks. In this paper, we propose a ...
techtimes

Graph Convolutional Networks are Bringing Emotion Recognition Closer to Machines. Here’s how.

Graph Convolutional Network (GCN): a type of Convolutional Neural Network that works with graphs to leverage the structural information represented in them. Your main takeaway here should be that what ...
IEEE

Transformer-Based Phase Space Graph Convolutional Network for Modulation Recognition

Abstract: Recent advances in deep learning-based signal re-representation methods have achieved significant breakthroughs in tasks like signal modulation recognition. In this paper, we propose a ...
GitHub

kryptologyst/Graph-Convolutional-Networks

A comprehensive, production-ready implementation of Graph Convolutional Networks with modern enhancements, evaluation frameworks, and interactive visualization tools. ├── src/ # Source code │ ├── ...
VentureBeat

Pinterest Labs created a graph convolutional network for better Pin recommendations

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Pinterest today shared details about how it created PinSage, a graph ...