In this repository we provide code of the paper:

Improving Source Localization by Perturbing Graph Diffusion

Yaping Zhao, Zhongrui Wang, Edmund Y. Lam

paper link: https://ieeexplore.ieee.org/abstract/document/10032349

scipy==1.5.0

torch==1.6.0

ipdb==0.13.4

numpy==1.18.5

scikit_learn==0.23.2

The datasets and pre-trained models are available at OneDrive and Baidu Netdisk (password: m0he).

Download them into this project folder, where the directory structure should be:

• PGD/
  • data/
  • model/
  • ...

To reproduce the main results from our paper, simply run:

python search_noise.py

Cite our paper if you find it interesting!

@inproceedings{zhao2022improving,
  title={Improving Source Localization by Perturbing Graph Diffusion},
  author={Zhao, Yaping and Wang, Zhongrui and Lam, Edmund Y},
  booktitle={2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)},
  pages={1--9},
  year={2022},
  organization={IEEE}
}

This code is implemented based on IVGD.