GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking
In this reference
An empirical study of how language models handle graph-structured information.
Cite the original work
Jiayan Guo & Lun Du & Hengyu Liu & Mengyu Zhou & Xinyi He & Shi Han (24 May 2023). GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking [Research paper]. arXiv. https://arxiv.org/abs/2305.15066v2
View BibTeX
@misc{gpt4graph_can_large_language_models_understand_graph_structured_data_an_empirical_eva,
author = {Jiayan Guo and Lun Du and Hengyu Liu and Mengyu Zhou and Xinyi He and Shi Han},
title = {{GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking}},
howpublished = {arXiv},
url = {https://arxiv.org/abs/2305.15066v2},
year = {2023}
}
