diff --git a/_projects/graphagent.md b/_projects/graphagent.md index f7de013..f77b4c3 100644 --- a/_projects/graphagent.md +++ b/_projects/graphagent.md @@ -12,4 +12,98 @@ toc: beginning: true --- -TBD \ No newline at end of file + + + + +
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LLM-based Agent & Graph

+ +

+ LLM-based Agents - Generator, Reasonor - LLM4Graph +
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+ + + +## 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 {% cite Hu_2024 %} + + +

+ + arxiv + + + +

+ +#### Citation +```bibtex +@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 {% cite Ji_2024 %} + + +

+ + arxiv + + + + +

+ + +#### Citation +```bibtex +@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} +} +```