This is the original pytorch implementation of Graph Ultra-sparsifier in the following paper:
[SEMI-SUPERVISED GRAPH ULTRA-SPARSIFIERS USING REWEIGHTED ℓ1 OPTIMIZATION, ICASSP 2023]
Here using Cora as an example.
python pretrain.py
Note that different datasets should correspond to different parameter settings in the pretrained step.
python sparse_train.py
Note that you may need to change some parameter settings during the sparse training.
Some supplementary materials are included in the Appendix.pdf.