For a quarter century, cosmology has rested on a simple but audacious idea: that a fixed “cosmological constant” drives the ...

Keeping pests in check on your property is less about raw power and more about choosing tools you can afford to shoot often ...

Search has evolved into a complex, multi-dimensional ecosystem where “being visible” means far more than simply holding the top spot. In 2026, with AI ...

While most planets that we are familiar with stick relatively close to their host star in a predictable orbit, some planets seem to have been knocked out of their orbits, floating through space free ...

The observed near flatness of galactic rotation curves has long been interpreted as evidence for large amounts of non-baryonic dark matter. Here we show that this phenom ...

Abstract: With the advancement of technology, the field of multi-channel time series forecasting has emerged as a focal point of research. In this context, spatio-temporal graph neural networks have ...

Abstract: Multivariate time series anomaly detection (MTSAD) plays a crucial role in the Internet of Things (IoT) to identify device malfunction or system attacks. Graph neural networks (GNN) are ...

TGM is a research library for temporal graph learning, designed to accelerate training on dynamic graphs while enabling rapid prototyping of new methods. It provides a unified abstraction for both ...

🚀 Cross-frame graph fusion for ToF denoising: Fuses motion-invariant graph structures across frames to achieve both temporal consistency and spatial sharpness. 🧠 Graph-informed geometric attention ...