A World Bank study introduces an AI-based method using graph neural networks to break down national statistics like GDP into ...

Researchers have introduced ChemGraph, an AI-powered agentic framework that automates and streamlines computational chemistry and materials science workflows. Combining graph neural networks for ...

A review by researchers at Tongji University and the University of Technology Sydney highlights the powerful role of Graph Neural Networks (GNNs) in exposing financial fraud. By revealing intricate ...

Fine-grained spatial data are critical for informed decision-making in domains ranging from economic planning to ...

A universal potential for all-purpose atomic simulations has been pursued for decades, but remains challenging due to limitations in model expressiveness and dataset construction. Now, writing in the ...

Graph theory and computational modeling reveal that neural network architecture biases the male Caenorhabditis elegans brain toward prioritized sexual behaviors.

A University of Manchester study found that a grammar-focused technique, LambdaG, can match or surpass advanced AI in identifying text authorship. By analyzing patterns in grammar and sentence ...