GitHub - CongWeilin/mvs

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.gitignore		.gitignore
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks.pdf		Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks.pdf
README		README
args.py		args.py
autograd_wl.py		autograd_wl.py
forward_wrapper.py		forward_wrapper.py
layer_wise_gcn.py		layer_wise_gcn.py
layers.py		layers.py
main_experiments.py		main_experiments.py
model.py		model.py
mvs_gcn.py		mvs_gcn.py
node_wise_gcn.py		node_wise_gcn.py
optimizers.py		optimizers.py
packages.py		packages.py
partition_utils.py		partition_utils.py
run_ppi.sh		run_ppi.sh
run_ppi_large.sh		run_ppi_large.sh
run_reddit.sh		run_reddit.sh
run_yelp.sh		run_yelp.sh
samplers.py		samplers.py
subgraph_gcn.py		subgraph_gcn.py
utils.py		utils.py

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Run `run_ppi.sh` for experiments on PPI dataset.

The same for other datasets.

Create a folder "./data" by `mkdir data` then download data into this folder.

Datasets can be download from https://drive.google.com/drive/folders/1qrFuQOxrbaDziJFeEkpAiXmL_C8dlk3K?usp=sharing