LLM knowledge graph ↔ Large Language Models

Relations (1)

related 0.10 — supporting 4 facts

Large Language Models are directly utilized as a tool for the construction and engineering of knowledge graphs, as evidenced by the research on LLM-aided Enterprise Knowledge Graphs in [1].

Facts (4)

Sources

[PDF] An LLM-Aided Enterprise Knowledge Graph (EKG) Engineering ... ojs.aaai.org AAAI 1 fact

claimThe authors of the paper 'An LLM-Aided Enterprise Knowledge Graph (EKG) Engineering' explored the use of Large Language Models (LLMs) for the creation of Enterprise Knowledge Graphs (EKGs) using a design-science approach.

Combining Knowledge Graphs With LLMs | Complete Guide - Atlan atlan.com Atlan 1 fact

procedureThe LLM-augmented knowledge graph approach uses large language models to automatically build and maintain knowledge graphs by processing documents to identify key concepts and relationships without manual annotation.

LLM Knowledge Graph: Merging AI with Structured Data - PuppyGraph puppygraph.com PuppyGraph 1 fact

claimPuppyGraph is a graph query engine that supports various databases with zero-ETL and can be integrated with LLMs to build LLM knowledge graphs.

A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Springer 1 fact

referenceIn LLM-augmented Knowledge Graphs, LLMs are used to improve KG representations, encode text or generate facts for KG completion, perform entity discovery and relation extraction for KG construction, describe KG facts in natural language, and connect natural language questions to KG-based answers, as cited in [55, 56, 57].