Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management.

Abstract: A framework of scientific knowledge graphs is proposed in this guide. This guide divides the stakeholders of scientific knowledge graphs into scientific data suppliers, scientific knowledge ...

A Heterogeneous Graph Transformer (HGT)-based model for protein function prediction using biological knowledge graphs and protein language models ...

Our goal is to build a high-performance Knowledge Graph tailored for Large Language Models (LLMs), prioritizing exceptionally low latency to ensure fast and efficient information delivery through our ...

Most document retrieval in GenAI is based on semantic similarity, but this approach falls short in a few ways when analyzing clinical texts.

Key to the latest product announcement is how the data flowing between different supply-chain functions is advancing Blue Yonder’s knowledge graph capabilities, which should allow business users to ...

This research was based on the knowledge graph technology, whereby “Tree Hole Intelligent Agent” (i.e., Artificial Intelligence Program) was used to identify “Zou Fan Tree Hole” users at high risk for ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...