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The code and database for Graph Neural Network (GNN) of organic cage shape persistency and the explainability of the GNN.

  • filtered_all_smi.csv contains information of the cages in this study.

  • GNN_Train/ holds the code to build and train the GNN models.

  • Integrated_Gradient/ holds the calculation of integrated gradients to explain the prediction of GNNs.

  • trained_models/ holds the models trained in this study.

  • database/ holds the code to process the database to graph fingerprints.

Detailed information can be found in the info.txt files under each folder.

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  • Python 100.0%