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FuzzyDGL

The PyTorch implementation of ''Fuzzy Representation Learning on Dynamic Graphs''.

Requirements

  • numpy 1.19.2
  • python 3.6.13
  • pytorch 1.7.1
  • scikit-learn 0.24.2
  • scipy 1.5.4
  • numpy 1.19.2

Data

The datasets are stored at Download.

Note that, one should create a new folder 'processed' for the datasets.

Usage

Train and evaluate the model by executing

python main.py -d CollegeMsg --pos_dim 108 --bs 32 --n_degree 64 1 --mode i --bias 1e-5 --pos_enc lp --seed 0

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