Data and Data Prepareing Tool
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  * [MNIST](https://data.dgl.ai/dataset/benchmarking-gnns/MNIST.pkl)
    * Raw data should be placed in `data/superpixels` 

  * [CIFAR10](https://data.dgl.ai/dataset/benchmarking-gnns/CIFAR10.pkl)
    * Raw data should be placed in `data/superpixels`   

  * [CLUSTER](https://data.dgl.ai/dataset/benchmarking-gnns/SBM_CLUSTER.pkl)
    * Raw data should be placed in `data/SBMs` 

  * [PATTERN](https://data.dgl.ai/dataset/benchmarking-gnns/SBM_PATTERN.pkl)
    * Raw data should be placed in `data/SBMs` 
   
  * [ZINC](https://data.dgl.ai/dataset/benchmarking-gnns/ZINC.pkl)
    * Raw data should be placed in `data/molecules` 

  * [AQSOL](https://www.dropbox.com/s/x1ej77z6peqpk2t/AQSOL.pkl?dl=1)
    * Raw data should be placed in `data/molecules` 
  
  * [TSP](https://data.dgl.ai/dataset/benchmarking-gnns/TSP.pkl)
    * Raw data should be placed in `data/TSP` 

**Tools for prepareing data**

Tools for preprocessing raw data for all seven datasets have already been placed into the corresponding folders. These tools will work through running all code blocks in the jupyter notebooks.
