IEEE

ST-LLM+: Graph Enhanced Spatio-Temporal Large Language Models for Traffic Prediction

Abstract: Traffic prediction is a crucial component of data management systems, leveraging historical data to learn spatio-temporal dynamics for forecasting future traffic and enabling efficient ...
Analytics Insight

Best Python Tools and Frameworks for Data Science in 2026

Overview: Python supports every stage of data science from raw data to deployed systemsLibraries like NumPy and Pandas simplify data handling and analysisPython ...
IEEE

RNGCNs: Robust Norm Graph Convolutional Networks in the Presence of Missing Data and Large Noises

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for attribute graph data learning. In many applications, graph node attributes/features may contain various kinds of noises, such ...
Journal of Medical Internet Research

Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study

The dataset included 10.7% (107/1000) DDEs, emphasizing the models’ robustness in an imbalanced data context. Conclusions: This study demonstrated the effectiveness of open- and closed-source LLMs, ...
Reuters

Owl AI to bring electronic line-calling to pro pickleball, eyes wider sporting impact

LOS ANGELES, Dec 4 (Reuters) - Major League Pickleball is set to introduce electronic line-calling for its matches next season, following a deal with technology firm Owl AI, the company's founder ...