Home Projects Graph-CoT
Graph-CoT
Jupyter Notebook

Graph-CoT

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)

by PeterGriffinJin · GitHub
Stars
Forks
License
Created
Last commit
Category
agentgraphllmApache-2.0Jupyter Notebook
View on GitHub
In plain words

Test and improve AI models by using graph-based reasoning to enhance their understanding and responses.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
Graph-CoT — GitHub preview card
📈 Star history
312311
2026-07-202026-08-31
📈 Track Graph-CoT

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)

Graph-CoT has 311 stars on GitHub. It has been forked 31 times. Graph-CoT is written mainly in Jupyter Notebook. It has been in active development since 2024. Graph-CoT is available under the Apache-2.0 license. Its main topics are agent, graph, llm, rag.

Frequently asked questions

What is Graph-CoT?

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)

Is Graph-CoT open source?

Graph-CoT is an open-source project. It is released under the Apache-2.0 license.

Is Graph-CoT free?

Yes. Graph-CoT is free and open source — you can use, modify and self-host it.

What license does Graph-CoT use?

Graph-CoT is available under the Apache-2.0 license.

What language is Graph-CoT written in?

Graph-CoT is written mainly in Jupyter Notebook.

🏅 Maintainer of this project?
olud.ai badge — Graph-CoT

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=petergriffinjin-graph-cot)](https://olud.ai/project/petergriffinjin-graph-cot.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.