SteveTANTAN/PoG

[WWW 2025] Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning

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Emerging

This project helps researchers and data scientists improve the accuracy of large language models (LLMs) when answering complex questions. By integrating an LLM with a knowledge graph like Freebase, it takes natural language questions and produces more precise answers, reducing the common problem of LLMs hallucinating or providing incomplete information. It is designed for those who work with structured knowledge bases and need to leverage them for better LLM performance.

No commits in the last 6 months.

Use this if you need to make your large language models more reliable and accurate by grounding their responses in extensive knowledge graphs.

Not ideal if you don't have access to a large knowledge graph like Freebase or are working on simpler natural language processing tasks that don't require external factual verification.

knowledge-graph-reasoning natural-language-querying factual-question-answering AI-research data-science
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 7 / 25

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Stars

47

Forks

3

Language

Python

License

Apache-2.0

Last pushed

Sep 01, 2025

Commits (30d)

0

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