IEEE

Cooperative Spectrum Sensing Using Weighted Graph Sparsity

Abstract: Graph has been proven to be an emerging tool for spectrum sensing (SS), with detection performance closely related to the graph characteristics. Existing graph-based SS has been mainly ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
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 ...
IEEE

Domain-Specific Graph RAG Pipelines: Optimized Approaches for Building Efficient Personal ...

Abstract: Managing personal data, including notes, calendar events, to-do lists, and other personal information, has become increasingly complex and challenging. In response to this issue, we propose ...
GitHub

keta1930/mcp-agent-graph

The frontend development server will run on port 5173. Update: Starting from v1.3.1, we officially released the Python SDK. You can now install and use it directly ...