ReadSemanticGraph_delta_1_cutoff_25_minedge_1.pkl
1.1) Create training data for 2018

in create_training_data_biased
    Create Graph for 2018
    Create Graph for 2019
len(vertex_large_degs): 55898
    edge progress (0.06484818458557129sec): 0.01M/1.0M 21 9979
    edge progress (0.06588006019592285sec): 0.02M/1.0M 43 19957
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    edge progress (22.713175535202026sec): 0.51M/1.0M 10000 500000
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    edge progress (25.86628270149231sec): 0.99M/1.0M 490000 500000
nearly done here
    Shuffle training data...

1.2) Compute 15 network properties for training data y=2016
Computing properties for Training data
    compute_all_properties_of_list progress: (296.1826319694519sec) 0.0M/0.9M
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Computing properties for Test data
    compute_all_properties_of_list progress: (297.1516969203949sec) 0.0M/0.1M
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1.3) Train Neural Network
    train_model: iteration: 0 - train loss: 0.80632025; test loss: 0.8063851
    train_model: iteration: 50 - train loss: 0.77590746; test loss: 0.77591264
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    train_model: iteration: 1000 - train loss: 0.4770245; test loss: 0.47665948
    train_model: iteration: 1050 - train loss: 0.47556293; test loss: 0.47532147
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1.4) Computes the AUC for training and test data using calculate_ROC.
2.1) Computes the 15 properties for the 2019 data.
    compute all properties for evaluation
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2.2) Uses the trained network to predict whether edges are created by 2022.
3) Creates a sorted index list, from highest predicted vertex pair to least predicted one (sorted_predictions)
---
edges_used=1000000
percent_positive_examples=1
batch_size=400
lr_enc=3.0000000000000004e-05
rnd_seed=42
AUC=0.8512233691649538

