GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

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 ...
Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

The resulting knowledge graph provides a robust framework for understanding sepsis, supporting clinical decision-making, and facilitating further research. The success of this approach underscores the ...
IEEE

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects

Abstract: Autonomous agents based on large language models (LLMs) have demonstrated impressive capabilities in numerous real-world applications. While most LLMs are limited in several key agentic ...
GitHub

HSGM: Hierarchical Semantic-Geometric Map for Vision-Language Navigation

Official code for the CVPR 2026 paper: Bridging the 2D-3D Gap: A Hierarchical Semantic-Geometric Map for Vision Language Navigation Kailing Li, Tianwen Qian, Lijin Yang, Yuqian Fu, Jingyu Gong, ...
IEEE

CarbonGPT: Meta Causal Graph-Enhanced Large Language Models for Carbon Emission Forecasting in Large-scale Power Distribution Networks

Abstract: Carbon emission reduction has emerged as a global core development objective, where dynamic carbon flow perception serves as the critical foundation for low-carbon dispatch. However, the ...