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 ...

These are my go-to libraries for Python data crunching.

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...

Google is updating its image generator to make it faster and cheaper, making it a more useful tool for creators looking to ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Qualcomm confirmed a $3.92 billion all-stock deal to buy AI software startup Modular, paired with a Meta Platforms CPU ...

A dissertation project implementing VizBot, a natural language to SQL chatbot that connects to PostgreSQL, generates interactive visualizations, and derives insights using Large Language Models (LLMs) ...

Abstract: Knowledge Graphs (KGs) have recently emerged as a powerful tool for extracting directed multi-relational "knowledge" from structured facts within massive urban mobility data, supporting ...