As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

CoinDesk Research’s Q4 2025 report examines TRON’s growing dominance in retail USDT transfers, intent-based transaction ...

Each year, millions of Americans move from one state to another, creating migration patterns that are far more complex than simple lists of where ...

After years of following crypto from early Bay Area events to endless online discussions, one pattern stands out: the market ...

The Israel Defense Forces and Israel Security Agency have exposed what they describe as a secret Hamas money-exchange network operating in central Turkey "under Iran’s direction," according to ...

Thomas Butt is a senior writer. An avid film connoisseur, Thomas actively logs his film consumption on Letterboxd and vows to connect with many more cinephiles through the platform. He is immensely ...

Representing the brain as a complex network typically involves approximations of both biological detail and network structure. Here, we discuss the sort of biological detail that may improve network ...

To improve the resilience of the computer network infrastructure against cyber attacks or causal influences and find ways to mitigate their impact, we need to understand their structure and dynamics.

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...