SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...

Knowledge Graph, Large Language Model, BERT, Knowledge Management, Small and Medium-Sized Enterprises, Accounting, Supply Chain Management Zheng, Y. (2026) Knowledge Graph Application in KM for ...

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

Selector, the industry leader in AI-powered network operations intelligence, today announced that the United States Patent and Trademark Office (USPTO) has granted eight foundational patents to the ...

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

Combining Neo4j with Claude, MCP, and network monitoring has given the truck giant real-time visibility into how its systems, ...

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 ...

A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...

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 ...

For years, SEOs optimized pages around keywords. But Google now understands meaning through entities and how they relate to one another: people, products, concepts, and their topical connections ...