Knowledge Graphs and Their Reciprocal Relationship with Large Language Models
The reciprocal relationship between Large Language Models (LLMs) and Knowledge Graphs (KGs) highlights their synergistic potential in enhancing artificial intelligence (AI) applications. LLMs, with their natural language understanding and generative capabilities, support the automation of KG constru...
Saved in:
| Main Authors: | Ramandeep Singh Dehal, Mehak Sharma, Enayat Rajabi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Machine Learning and Knowledge Extraction |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-4990/7/2/38 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Large Language Models for Knowledge Graph Embedding: A Survey
by: Bingchen Liu, et al.
Published: (2025-07-01) -
Enhancing Knowledge Graph Construction with Automated Source Evaluation Using Large Language Models
by: Hendrik Hendrik, et al.
Published: (2025-04-01) -
Development and Application of a Knowledge Retrieval and Analysis System for the Power Industry Based on Knowledge Graph and Large Language Model
by: Jinying ZHANG, et al.
Published: (2024-12-01) -
AutoMEX: Streamlining material extrusion with AI agents powered by large language models and knowledge graphs
by: Haolin Fan, et al.
Published: (2025-03-01) -
From Pixels to Insights: Unsupervised Knowledge Graph Generation with Large Language Model
by: Lei Chen, et al.
Published: (2025-04-01)