Knowledge graph completion aims to address knowledge gaps caused by difficulties in collecting real-world facts. This paper proposes a novel dual-view graph neural network model, DGE-ASR, which ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...

The Trump administration's decision to shelve a crucial $15 million federal grant jeopardises vital climate research, leaving ...

President Trump’s efforts to freeze climate spending have sparked warnings of rippling consequences in years ahead. For many ...

A knowledge graph is like that car’s navigation system, providing context, meaning, and direction on top of those connections.” The bottom line is that “graph databases are a type of NoSQL database ...

This paper presents a framework for utilizing maritime and shipping documents to construct a knowledge graph using GraphRAG, a hybrid tool combining graph-based retrieval and generation capabilities.

Explore the role of content knowledge graphs in enhancing your marketing strategy and improving information retrieval with structured data.

The graph of knowledge vs. the knowledge graph: GoK is a broader, more conceptual idea focusing on interconnected information, without necessarily being highly structured.

An essential first step in information representation and knowledge graph utilization is knowledge embedding. Knowledge graph completion (KGC) is a widely used technology to improve the accuracy and ...