├── .gitignore ├── LICENSE.md ├── README.md ├── environment.yml ├── hpc ├── logs │ └── .gitkeep └── slice.sh ├── install.sh ├── main.py ├── output └── .gitkeep ├── requirements.txt ├── spec_file.txt ├── src ├── CompGCN │ ├── LICENSE │ ├── Readme.md │ ├── config │ │ └── log_config.json │ ├── data_compressed │ │ ├── FB15k-237.zip │ │ └── WN18RR.zip │ ├── data_loader.py │ ├── helper.py │ ├── model │ │ ├── __init__.py │ │ ├── compgcn_conv.py │ │ ├── compgcn_conv_basis.py │ │ ├── message_passing.py │ │ └── models.py │ ├── overview.png │ ├── preprocess.sh │ ├── requirements.txt │ └── run.py ├── __init__.py ├── encoding │ ├── __init__.py │ ├── gcn_graph_encoder.py │ ├── gcn_transform.py │ └── input_encoder.py ├── finetuning.py ├── pretraining.py ├── processing │ ├── __init__.py │ ├── attributed_graph.py │ ├── coherent_context_generator.py │ ├── context_generator.py │ ├── generic_attributed_graph.py │ ├── negative_sampling.py │ ├── process_unb_cyber_network.py │ └── test │ │ ├── __init__.py │ │ ├── test.txt │ │ └── test_negative_sampling.py ├── slice_model │ ├── __init__.py │ ├── mask_generation.py │ ├── process_walks_gcn.py │ └── slice_model.py └── utils │ ├── __init__.py │ ├── context_metrics.py │ ├── data_utils.py │ ├── evaluation.py │ ├── link_predict.py │ ├── transform_to_1_based.py │ └── utils.py └── wheels ├── linux ├── torch_cluster-1.5.4-cp36-cp36m-linux_x86_64.whl ├── torch_scatter-2.0.4-cp36-cp36m-linux_x86_64.whl ├── torch_sparse-0.6.1-cp36-cp36m-linux_x86_64.whl └── torch_spline_conv-1.2.0-cp36-cp36m-linux_x86_64.whl └── windows ├── torch_cluster-1.5.4-cp36-cp36m-win_amd64.whl ├── torch_scatter-2.0.4-cp36-cp36m-win_amd64.whl ├── torch_sparse-0.6.1-cp36-cp36m-win_amd64.whl └── torch_spline_conv-1.2.0-cp36-cp36m-win_amd64.whl /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pnnl/SLiCE/HEAD/.gitignore -------------------------------------------------------------------------------- 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