- get all dataset from (https://drive.google.com/file/d/1-HsRYRENUgfhM8ZW915R2Ad8aT6NSswv/view?usp=sharing)
- place corresponding dataset files or dir into ./datasets
- Change the DATASET variable in the config.py file to process corresponding dataset, the optional parameter is 'Slashdot0811','Nature','lasftm_asia','facebook_large','DBLP','com_amazon'.
- run data_preprocessing.ipynb Preprocess the datasets to .gml
- run models.py to layout dataset.
- run evaluation_layout.py to get evaluation
then you can find the result in (./temp/config.DATASET)