Network sampling in social graphs encompasses a suite of methodologies designed to extract representative subsets from large‐scale networks, enabling analysis when complete data are unavailable or ...

In recent years, with the rapid development of technologies such as mobile internet, the internet of things, social networks, and big data processing, various industries have begun to generate vast ...

Giulia Livieri sets out remarkable new research with results that clarify how learning works on complex graphs and how quickly any method (including Graph Convolutional Networks) can learn from them, ...

Amazon has unveiled a new data center networking architecture that it claims delivers up to 33% higher throughput while reducing network power consumption by 40%, marking what the company describes as ...