Abstract: Analyses of temporal graphs provide valuable insights into temporal networks via two analytical approaches (temporal evolution and temporal information diffusion). The former explains how a ...

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...

Introduction: Sleep disorders pose significant risks to patient safety, yet traditional polysomnography imposes substantial discomfort and laboratory constraints. We developed a non-invasive ...

The analyzer currently extracts emoji data but doesn’t present it visually. A simple emoji frequency chart would help users understand chat sentiment, activity style, and communication tone at a ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

GitHub's Q1 2025 Innovation Graph update highlights trends in software development, emphasizing data visualization and AI's growing impact. GitHub recently released its Q1 2025 Innovation Graph update ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...