README.md

October 23, 2025 · View on GitHub

Code for RadioGAT （Please ignore the commit message）

Program running order：

  1. Run Data_read.py
  2. Run Radio_Depth_Generate.py
  3. Run NodeFeature_Generate.py
  4. Run Depth_Adj_Generate.py
  5. Run GAT_V2025.py

If you use RadioGAT in other datasets. Please check if the hyperparameters in "Radio_Depth_Generate.py" and "Depth_Adj_Generate.py" are suitable.

Follow-up:

  1. Add details for different programs and files.
  2. Add other adjacency matrices such as adjacency-based, environment-based and transmitter-based methods.

Acknowledgement

Please acknowledge the following paper if the code is useful for your research.

X. Li et al., "RadioGAT: A Joint Model-Based and Data-Driven Framework for Multi-Band Radiomap Reconstruction via Graph Attention Networks," in IEEE Transactions on Wireless Communications, vol. 23, no. 11, pp. 17777-17792, Nov. 2024

Contact

Please contact Xiaojie Li for more information regarding the radiogat code if you have any questions.

Email: xiaojieli@nuaa.edu.cn or xiaojieli@seu.edu.cn.