Skip to content

Latest commit

 

History

10 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SEAL

Codes and data for KDD2020 submission.

Usage

Un-tar processed datasets:

chmod +x untar_files.sh
./untar_files.sh

Or you could run pre-processing scripts in preprocessing/ folder to obtain datasets from raw data.

Run the algorithm:

python run_seal_attr.py --dataset dblp --locator_coef 0.5 --radius_penalty 0.0

Dependencies

All dependencies are included in env.yml.

You could install all dependencies with conda:

conda env create -f env.yml

Datasets

Communities in *.cmty.txt have been randomly shuffled. So the first 450 are training communities, the following 50 are validation communities, and the remaining is the test set.

About

Codes and data for KDD 2020 paper "SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks"

Topics

Resources

Stars

5 stars

Watchers

2 watching

Forks

Releases

Packages

Contributors

Languages