Data-Centric Learning from Unlabeled Graphs with Diffusion Model
====
by Anonymous Authors

## Requirements

This code was developed and tested with Python 3.7.12 and PyTorch 1.13.0. 
All dependencies are specified in the ```package-list.txt``` file. The packages can be installed by
```
conda create -n myenv --file package-list.txt
```

## Usage

Following is an example command to run experiments on OGBG-SIDER (Data provided in the raw_data folder. Other OGBG datasets could be automatically downloaded once the environments are configured)

```

# OGBG-SIDER
python main.py --dataset ogbg-molsider --trails 3 --batch-size 2048 --lr 2e-4 --model gin --num-layer 3 --n-negative 1 --out-steps 1 --topk 10 --aug-batch 2000 --iteration 10 --start 50 --snr 1 --perturb-ratio 0.2
```