Hypergraph neural networks (HyperGNNs) are a family of deep neural networks designed to perform inference on hypergraphs. HyperGNNs follow either a spectral or a spatial approach, in which a ...

The Darwin Cup Carnival continues to ramp up towards the big day with punters from far and wide making their way down for the celebrated Metric Mile Day.

A new material developed by researchers from University of Toronto Engineering could offer a safer alternative to the nonstick chemicals commonly used in cookware and other applications.

These properties make twisted bilayers and their phason modes promising both for a number of practical applications. These include creating new, more efficient heat protection for satellites and ...

WorkSafe temporarily shut down a Western Australian open-pit iron ore mine after a routine safety inspection in July 2025 uncovered inadequate emergency response capabilities. WorkSafe temporarily ...

A research team led by TU Darmstadt has transformed a difficult problem in quantum physics into a much simpler version through innovative reformulation—without losing any important information ...

The high computational cost of current state transition tensor (STT)-based high-order extended Kalman filter (HEKF) algorithms limits in-orbit orbit determination (OD) applications. This article ...

Jul 23, 2025 Predicting spin accumulation for faster and greener data storage Researchers develop a computational tool to accurately predict the spin accumulation coefficient in spintronic materials. ...

Griffith University researchers investigated the biological process involved in healing after dental implant placements using imaging data from the Australian Synchrotron. Dental implant placements ...