Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...

ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...

Ripple is exploring Amazon Bedrock AI for XRPL operations to improve efficiency by using AI agents to analyze XRP Ledger ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Abstract: The constructed knowledge graphs (KGs) are often incomplete and the completeness of KGs directly impacts the performance of various applications and methods based on these KGs. Knowledge ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...

In this tutorial, we dive into the cutting edge of Agentic AI by building a “Zettelkasten” memory system, a “living” architecture that organizes information much like the human brain. We move beyond ...

A deep learning system that uses Graph Attention Networks (GAT) and LSTM to predict volatility spillovers across the Electric Vehicle supply chain by modeling real supplier relationships extracted ...