update_graphagent

_projects/graphagent.md

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-TBD
+
+<!-- <style>
+img.badge {
+    width: auto;
+    height: 20px; /* 设置图片的高度 */
+}
+</style> -->
+
+<!-- PROJECT LOGO -->
+<div align="center">
+  <!-- <a href="https://github.com/othneildrew/Best-README-Template">
+    <img src="images/logo.png" alt="Logo" width="80" height="80">
+  </a> -->
+
+  <h1 align="center">LLM-based Agent & Graph</h1>
+
+  <p align="center">
+    LLM-based Agents - Generator, Reasonor - LLM4Graph
+    <br />
+    <!-- <a href="https://github.com/othneildrew/Best-README-Template"><strong>Explore the docs »</strong></a>
+    <br /> -->
+    <!-- <br />
+    <a href="https://github.com/othneildrew/Best-README-Template">View Demo</a>
+    ·
+    <a href="https://github.com/othneildrew/Best-README-Template/issues/new?labels=bug&template=bug-report---.md">Report Bug</a>
+    ·
+    <a href="https://github.com/othneildrew/Best-README-Template/issues/new?labels=enhancement&template=feature-request---.md">Request Feature</a> -->
+  </p>
+</div>
+
+
+<!-- ABOUT THE PROJECT -->
+## 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 %} 
+
+<!-- Badges -->
+<p>
+  <a href="https://arxiv.org/abs/2410.05130">
+    <img src="https://img.shields.io/badge/arxiv-2410.05130-b31b1b?style=flat&logo=arxiv
+" alt="arxiv" />
+  </a>
+  <!-- <a href="https://github.com/ivam-he/PSHGCN">
+    <img src="https://img.shields.io/badge/ivam--he%2FPSHGCN-white?logo=github&labelColor=black" alt="stars" />
+  </a>
+  <a href="https://github.com/ivam-he/PSHGCN/stargazers">
+    <img src="https://img.shields.io/github/stars/ivam-he/PSHGCN" alt="stars" /> -->
+  </a>
+</p>
+
+#### 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 %} 
+
+<!-- Badges -->
+<p>
+  <a href="https://arxiv.org/abs/2410.09824">
+    <img src="https://img.shields.io/badge/arxiv-2410.09824-b31b1b?style=flat&logo=arxiv
+" alt="arxiv" />
+  <!-- <a href="https://anonymous.4open.science/r/GraphAgent-2206/README.md">
+    <img src="https://img.shields.io/badge/ithub&labelColor=black" alt="stars" />
+  </a> -->
+  </a>
+  <!-- <a href="https://github.com/ivam-he/PSHGCN">
+    <img src="https://img.shields.io/badge/ivam--he%2FPSHGCN-white?logo=github&labelColor=black" alt="stars" />
+  </a>
+  <a href="https://github.com/ivam-he/PSHGCN/stargazers">
+    <img src="https://img.shields.io/github/stars/ivam-he/PSHGCN" alt="stars" /> -->
+  </a>
+</p>
+
+
+#### 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}
+}
+```