RManLuo/reasoning-on-graphs
Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"
This tool helps knowledge base administrators, researchers, and data scientists to get accurate and explainable answers to questions using large language models. It takes natural language questions and knowledge graph data as input, then generates precise answers along with the reasoning steps used to arrive at them. The output is helpful for anyone who needs to understand the factual basis behind an AI-generated answer.
497 stars. No commits in the last 6 months.
Use this if you need to extract precise, verifiable answers from complex knowledge graphs using large language models, while also understanding the exact reasoning paths taken.
Not ideal if you are looking for a general-purpose conversational AI or a tool that generates creative content rather than factual answers from structured data.
Stars
497
Forks
57
Language
Python
License
MIT
Category
Last pushed
Mar 05, 2025
Commits (30d)
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