IEEE

End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence

Abstract: In this paper, we propose a reservoir computing-based and directed graph analysis pipeline. The goal of this pipeline is to define an efficient brain representation for connectivity in ...
IEEE

GTN-Cell: Efficient Standard Cell Characterization Using Graph Transformer Network

Abstract: Lookup table (LUT)-based libraries of standard cell characterization is crucial to accurate static timing analysis (STA). However, with the continuous scaling of technology nodes and the ...
Journal of Medical Internet Research

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

Building upon this, we compiled a comprehensive sepsis knowledge graph, comprising of 1894 nodes and 2021 distinct relationships. Conclusions: This study represents a pioneering effort in using LLMs, ...
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 ...
GitHub

MCP Agent Graph (MAG)

Preface: mcp-agent-graph is an efficient, lightweight, and easy-to-use Agent development framework. As an Agent developer, you might use visual workflow orchestration tools like Dify or Coze; you ...