RandomSearchNNs

[Under Review] Efficient and Expressive Graph Learning via Random Search Neural Networks

Instructions for Reproducibility

1. In the generation directory, use the following command to download and preprocess datasets from PyTorch Geometric:

   source generate_benchmarks.sh
   

2. Once the datasets are downloaded and preprocessed, in the root directory, use the following command to train models and save results to the results directory.

   source search_benchmarks_rws.sh
   

3. After training the models and saving the results, load the results in the load_results.ipynb notebook located in the results directory.