The Swiss model suggests that sustainable competitive advantage may come not only from the largest AI models but also from ...

Data augmentation has been successfully utilized to refine the generalization capability and performance of learning algorithms in image and text analysis. With the rising focus on graph neural ...

AI models are powerful tools, and in order to use them securely, you need to control them using an API. I'm going to teach ...

Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

Graph convolutional network (GCN) has gained widespread attention in semisupervised classification tasks. Recent studies show that GCN-based methods have achieved decent performance in numerous fields ...

Start with the basics: get a handle on what AI is, why it matters, and how it’s used in the real world. Make a plan: figure ...

S ummer break is the perfect time to turn curiosity into hands-on learning, especially with a Raspberry Pi in the mix.

PyTorch Geometric implementations of GraphSAGE and GAT (Graph Attention Networks) for node classification on citation networks.

This repository hosts the scripts and some of the pre-trained models presented in out paper "ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network", IEEE ...