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 ...
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 ...
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 ...
blockchain

Agentic Knowledge Graph Construction for Advanced RAG: Build Accurate AI Retrieval Systems with Neo4j and Multi-Agent Workflows

According to @deeplearningai and @akollegger, their new course 'Agentic Knowledge Graph Construction' demonstrates how leveraging a team of AI agents can automate the extraction and connection of ...
GitHub

A short pygame demo (that will be expanded upon) that showcases the power of NAND in a graph theory inspired format.

Press 1 for "modify" mode. Click on a node to reverse its status. Press 2 for "connection" mode. Click on a node to mark it for connection, and click another to connect the marked node to the clicked ...