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VSAN

Usage

  1. get all dataset from (https://drive.google.com/file/d/1-HsRYRENUgfhM8ZW915R2Ad8aT6NSswv/view?usp=sharing)
  2. place corresponding dataset files or dir into ./datasets
  3. 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'.
  4. run data_preprocessing.ipynb Preprocess the datasets to .gml
  5. run models.py to layout dataset.
  6. run evaluation_layout.py to get evaluation

then you can find the result in (./temp/config.DATASET)

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