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

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, ...
IEEE

K-Core Structure Feature Encoding-Based Enhanced Federated Graph Learning Framework

Abstract: Federated Graph Learning (FGL) demonstrates tremendous potential in distributed graph data analysis and modeling. The rapid growth of graph data and the increasing awareness of privacy ...
IEEE

Smooth Multiple Kernel k-Means via Underlying Graph Filtering

Abstract: Clustering has attracted more and more attention as one of the most fundamental techniques in the field of unsupervised learning. To deal with nonlinear problems, clustering methods have ...
GitHub

Crypto Arbitrage Detection & Paper Trading

Question: Are there inefficiencies in real-time cryptocurrency exchange rates that could be exploited for profit? This project pulls live exchange rates for 13 cryptocurrencies from the CoinGecko API, ...