Abstract: In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

Amazon has started deploying a completely new routing architecture in AWS data centers which it says will deliver higher throughput from fewer physical switches while slashing electricity consumption.

Mathematicians proved in the early 1990s that randomly connecting routers produces the most efficient, resilient network topology. It took AWS roughly 30 years to turn that result into production ...

Amazon Web Services (AWS) has detailed a new cloud networking architecture based on random graph theory that it says is now the default fabric for its general-purpose cloud infrastructure worldwide.

Amazon Web Services Inc. has started using a new data center network design that significantly improves the throughput and reliability of connections. The cloud giant today detailed the architecture, ...

The tech giant says a breakthrough in data center networking has dramatically accelerated the flow of information through its massive cloud infrastructure. The new technology hinges on a “quasi-random ...

threat-hunting-network-graph/ │ ├── data/ │ └── ttp.xlsx # TTP mappées par asset type et STRIDE │ ├── output/ # Résultats générés │ ├── README.md # Documentation de l'organisation │ ├── run_YYYY-MM-DD ...

If the Task Manager is not showing network usage on your Windows 11/10 PC, read this post to learn how to troubleshoot the issue. Network usage refers to the amount of data being sent and received by ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...