LNR-server-03-critical-facility-identification

## 📣 Important Notice __⚠️ As the paper is under review, all contents in this repository are currently not permitted for reuse by anyone until this announcement is removed. Thank you for your understanding! 🙏__ ## 1. Overview & Objectives This repository contains the complete implementation, experimental data, and supplementary results for the paper **×××** developed by **XXX University** in China, and . Pending publication, the code is shared under a restrictive license. Once the paper is accepted, the repository will transition to a MIT license. Please contact the corresponding author for any inquiries regarding academic use during the review period. ## 2. Videos of agents operation ### 2.1 Operation of the developed prototype ↓↓↓ A demonstration of using the developed **prototype** to operate the TCG-TE LNR agents using graph-guided MCP tools <video src="https://github.com/user-attachments/assets/62ce60a8-4f43-4ff6-a787-aa9784b2f03a" width="880"></video> The full video could be found here <img width="1099" height="26" alt="屏幕截图 2026-01-03 201222" src="https://github.com/user-attachments/assets/b47b3296-cc02-40ae-acaa-9896678aeb14" /> ↓↓↓ A demonstration of using the developed **prototype** to integrate a new MCP server to TCG-TE LNR agents <video src="https://github.com/user-attachments/assets/e82f1150-2a8f-474f-b5c4-1dd9c0fcb57c" width="880"></video> The full video could be found here <img width="1213" height="33" alt="屏幕截图 2026-01-03 201211" src="https://github.com/user-attachments/assets/4131b1e3-a234-4bb8-8ea5-b90479c8160b" /> ### 2.2 Operation of agents based on NPG-TE pattern ↓↓↓ A snippet of the operation of **NPG-TE agent with discrete MCP tools driven by GPT-5**. <video src="https://github.com/user-attachments/assets/5c7c539d-9b38-4b55-abbd-5fe7da966d7c" width="880"></video> ↓↓↓ A screenshot of Agent's response <img width="1812" height="692" alt="gpt-5-MCP" src="https://github.com/user-attachments/assets/b00b5897-06c3-4b75-a824-9fe72edafd2a" /> The full video can be found here <img width="1194" height="30" alt="屏幕截图 2026-01-03 201138" src="https://github.com/user-attachments/assets/6fa1f839-6f05-4dfa-97f3-2ad70f37cd24" /> ↓↓↓ A snippet of the operation of **NPG-TE agents with discrete MCP tools driven by GPT-4o**. <video src="https://github.com/user-attachments/assets/040dbadc-c25b-461a-9bba-7391168058cb" width="880"></video> ↓↓↓ A screenshot of Agent's response <img width="1803" height="541" alt="gpt-4o-MCP" src="https://github.com/user-attachments/assets/c96fd494-b805-49c8-a548-7dfc2476c9cf" /> The full video can be found here <img width="1214" height="32" alt="屏幕截图 2026-01-03 201102" src="https://github.com/user-attachments/assets/aa470a0f-8f0d-4df8-a6f1-1956ad205b6f" /> ### 2.3 Operation of agents based on TCG-TE pattern ↓↓↓ A snippet of the operation of **TCG-TE agents with graph-guided MCP tools driven by Claude sonnet 3.7**.  The full video can be found here <img width="1283" height="35" alt="屏幕截图 2026-01-03 201151" src="https://github.com/user-attachments/assets/51abdd29-b4fe-4004-af89-84a6294d7bda" /> ↓↓↓ A snippet of the operation of **TCG-TE agents with graph-guided MCP tools driven by GPT-4.1**. <video src="https://github.com/user-attachments/assets/8159ea48-1421-4158-b067-1bdcd8dd531e" width="880"></video> ↓↓↓ A screenshot of Agent's response <img width="1867" height="636" alt="gpt-4o-MCP-RAG" src="https://github.com/user-attachments/assets/cb356f9d-17bc-4adb-823c-8a32e5e23156" /> The full video can be found here <img width="1202" height="30" alt="屏幕截图 2026-01-03 201201" src="https://github.com/user-attachments/assets/177bccf2-53dc-4f6a-bd61-c3348f36708b" /> ## 3. Repository Structure ## 4. Acknowledgments This work heavily relies on excellent open-source projects, including but not limited to: - LangGraph & LangChain - Hugging Face MTEB leaderboard - NetworkX, PyTorch Geometric, and numerous LLM providers (OpenAI, Anthropic, Qwen, Llama, etc.) We are deeply grateful to all contributors of these foundational work.