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 ...

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 ...

Abstract: Anomaly detection in multivariate time series (MTS) is crucial for various applications in data mining and industry. Current industrial methods typically approach anomaly detection as an ...

🚀 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 ...

@article{jin2025expressive, title={Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting}, author={Ming Jin and Guangsi Shi and Yuan-Fang Li and Bo Xiong and Tian Zhou ...

Introduction: Artificial intelligence (AI) has sparked a paradox in organizational behavior research: while it promises productivity gains, it simultaneously generates psychological strain and ...

Learn the benefits and risks of options and how to start trading options Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Samantha (Sam) Silberstein, CFP®, CSLP®, ...