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.
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.
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.
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