KG-LLM-Papers and Awesome-LLM4RS-Papers

These are ecosystem siblings—one focuses on integrating knowledge graphs with LLMs for structured reasoning, while the other applies LLMs to recommendation systems, both representing distinct application domains within the broader graph-language-models ecosystem.

KG-LLM-Papers
55
Established
Awesome-LLM4RS-Papers
47
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 19/25
Maintenance 13/25
Adoption 10/25
Maturity 8/25
Community 16/25
Stars: 2,151
Forks: 152
Downloads:
Commits (30d): 0
Language:
License: MIT
Stars: 745
Forks: 63
Downloads:
Commits (30d): 1
Language:
License:
No Package No Dependents
No License No Package No Dependents

About KG-LLM-Papers

zjukg/KG-LLM-Papers

[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

This resource provides a curated list of research papers exploring the intersection of knowledge graphs (KGs) and large language models (LLMs). It helps AI researchers, data scientists, and machine learning engineers stay updated on the latest advancements and identify relevant studies. You input your research interest in KG-LLM integration and receive a categorized list of papers, often with links to their repositories.

AI Research Knowledge Graphs Large Language Models Natural Language Processing Machine Learning

About Awesome-LLM4RS-Papers

nancheng58/Awesome-LLM4RS-Papers

Large Language Model-enhanced Recommender System Papers

This is a curated list of research papers exploring how Large Language Models (LLMs) can improve recommendation systems. It helps researchers and practitioners understand the latest advancements in combining LLMs with recommendation engines. You get access to academic papers, and the typical user is a research scientist, machine learning engineer, or data scientist specializing in recommendation systems or natural language processing.

recommendation-systems machine-learning-research natural-language-processing data-science artificial-intelligence

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