FINAL-Python

Python (Pytorch) implementation of "FINAL: Fast Attributed Network Alignment". The official MATLAB implementation is here.

Prerequisites

• numpy
• scipy
• pytorch

Datasets

You can run main.py using one of the following datasets

• foursquare-twitter
• ACM-DBLP
• Douban
• flickr-lastfm
• flickr-myspace

Usage

1. Clone the repository to your local machine:

git clone https://github.com/yq-leo/FINAL-Python.git

2. Navigate to the project directory:

cd FINAL-Python

3. Install the required dependencies:

pip install -r requirements.txt

4. To run FINAL, execute the following command in the terminal:

python main.py --dataset={dataset}

Reference

Official Code

FINAL-KDD16

Paper

Zhang, S., & Tong, H. (2016, August). Final: Fast attributed network alignment. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 1345-1354). DOI.