GraphAgent
LLM-based Agents - Generator, Reasonor - LLM4Graph
About The Project
The GraphAgent Framework is a platform built on LLM-based agents, designed to leverage the capabilities of LLMs for various graph data tasks. With its parallel acceleration capabilities, GraphAgent effectively meets the challenges posed by large-scale graph data. Currently, the framework comprises two modules: graph generation and graph reasoning. In the future, we plan to further enhance the GraphAgent framework
This page is a collection of our work on GraphAgent.
Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents (Hu et al., 2024)
Citation
@article{hu2024scalable,
title={Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents},
author={Hu, Yuwei and Lei, Runlin and Huang, Xinyi and Wei, Zhewei and Liu, Yongchao},
journal={arXiv preprint arXiv:2410.05130},
year={2024}
}
Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation (Ji et al., 2024)
Citation
@article{ji2024dynamic,
title={Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation},
author={Ji, Jiarui and Lei, Runlin and Bi, Jialing and Wei, Zhewei and Lin, Yankai and Pan, Xuchen and Li, Yaliang and Ding, Bolin},
journal={arXiv preprint arXiv:2410.09824},
year={2024}
}