GAI-Community/GraphOmni

Enable Comprehensive LLM Evaluation on Graph Reasoning

30
/ 100
Emerging

This tool helps AI researchers and practitioners assess how well large language models (LLMs) understand and solve problems related to graphs, like finding cycles or shortest paths. You input various graph representations and different LLM models, then receive detailed evaluation results showing how accurately the LLMs perform on these graph-theoretic tasks. This is for anyone building, researching, or deploying LLMs, especially those working with complex, interconnected data.

No commits in the last 6 months.

Use this if you need to systematically benchmark the graph reasoning capabilities of different LLMs using a standardized and extendable framework.

Not ideal if you are looking for a tool to generate or visualize graphs, or if your primary interest is in evaluating LLMs on general text-based tasks rather than specific graph algorithms.

AI-research LLM-evaluation graph-algorithms model-benchmarking data-science
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 15 / 25
Community 4 / 25

How are scores calculated?

Stars

76

Forks

2

Language

Python

License

MIT

Last pushed

Jun 12, 2025

Commits (30d)

0

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