PSNE

implementations of the model proposed in the paper: PSNE: Scaling Structure-aware Network Embedding via Spectral Sparsification

Requirements

Start with conda

conda create -n your_env_name python=3.8.16

Please install dependencies by

pip install -r requirements.txt

Datasets

• PPI contains 3,890 nodes, 76,584 edges and 50 labels.
• Wikipedia contains 4,777 nodes, 184,812 edges and 40 labels.
• Blogcatalog contains 10,312 nodes, 333,983 edges and 39 labels.
• Flickr contains 80,513 nodes, 5,899,882 edges and 195 labels.
• Youtube contains 1,138,499 nodes, 2,990,443 edges and 47 labels.

Run

python main.py

Hyperparameter modification and choose datasets

All parameters are read from my_file.yaml, you can directly modify the parameters and the url of the dataset in my_file.yaml

Cite

Please cite our paper if you use the model or this code in your own work: