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unit: def finetuneimdb_dif_supervisions()
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size: 393 LOC
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number of parameters: 0

id: 2
unit: def finetuneimdb_inductive_lp_supervisions()
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size: 393 LOC
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number of parameters: 0

id: 3
unit: def finetuneimdb_dif_edge_splits()
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size: 392 LOC
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number of parameters: 0

id: 4
unit: def finetuneimdb_dif_edge_splits_dif_lr()
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size: 391 LOC
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number of parameters: 0

id: 5
unit: def finetunedblp_all_signals()
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size: 391 LOC
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number of parameters: 0

id: 6
unit: def finetuneimdb_adjlr_diftrain_4split()
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size: 390 LOC
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number of parameters: 0

id: 7
unit: def finetuneimdb_adjlr_diftrain_2split()
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size: 390 LOC
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number of parameters: 0

id: 8
unit: def finetuneimdb_adjlr_diftrain_05split()
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size: 390 LOC
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number of parameters: 0

id: 9
unit: def finetuneimdb_infomax()
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number of parameters: 0

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unit: def finetuneimdb_adjusted_large_scale_learning_rate_to_base_layers()
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id: 11
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unit: def finetunedblp_med()
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id: 13
unit: def finetuneimdb_small_no_init()
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size: 353 LOC
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number of parameters: 0

id: 14
unit: def finetuneimdb_adjusted_learning_rate_to_base_layers()
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number of parameters: 0

id: 15
unit: def evaluation_link_prediction()
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number of parameters: 9

id: 16
unit: def finetuneimdb_tune_small_across_panrep_configurations()
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size: 350 LOC
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number of parameters: 0

id: 17
unit: def evaluation_link_prediction_wembeds()
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size: 344 LOC
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number of parameters: 10

id: 18
unit: def finetuneimdb_tune_ssl_univ()
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number of parameters: 0

id: 19
unit: def finetuneimdb_tune_sslsmal_univ()
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number of parameters: 0

id: 20
unit: def finetuneimdb_tune_learning_rel_embedding()
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number of parameters: 0

id: 21
unit: def finetuneimdb_univ()
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number of parameters: 0

id: 22
unit: def finetuneimdb_morefintepochs_univ()
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number of parameters: 0

id: 23
unit: def finetunedblp_univ()
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number of parameters: 0

id: 24
unit: def finetuneimdb_tunefin_univ()
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size: 189 LOC
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number of parameters: 0

id: 25
unit: def read_subset_imdb2dic()
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size: 179 LOC
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number of parameters: 2

id: 26
unit: def read_subset_imdb2dic()
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size: 179 LOC
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number of parameters: 2

id: 27
unit: def read_imdb2dic()
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size: 173 LOC
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number of parameters: 1

id: 28
unit: def read_imdb2dic()
file: data_handler/imdb/imbd_data_loader.py
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size: 173 LOC
McCabe index: 48
number of parameters: 1

id: 29
unit: def finetunedblplargerw()
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number of parameters: 0

id: 30
unit: def finetunedblpsmallrw()
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number of parameters: 0

id: 31
unit: def finetune()
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number of parameters: 0

id: 32
unit: def sample_blocks()
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number of parameters: 2

id: 33
unit: def sample_blocks()
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number of parameters: 2

id: 34
unit: def finetunedblp()
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number of parameters: 0

id: 35
unit: def finetuneimdblp15nr()
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number of parameters: 0

id: 36
unit: def finetuneimdblp5nr()
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number of parameters: 0

id: 37
unit: def finetuneimdblp2nr()
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McCabe index: 24
number of parameters: 0

id: 38
unit: def finetunemotif_basednowarmstart()
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size: 138 LOC
McCabe index: 23
number of parameters: 0

id: 39
unit: def finetunemotif_basedwarmstart10()
file: panrep/plot_data.py
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McCabe index: 23
number of parameters: 0

id: 40
unit: def finetunewrw()
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McCabe index: 23
number of parameters: 0

id: 41
unit: def finetune1()
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number of parameters: 0

id: 42
unit: def load_univ_homo_data()
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number of parameters: 1

id: 43
unit: def graph_generator()
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size: 122 LOC
McCabe index: 42
number of parameters: 1

id: 44
unit: def finetune_panrep_for_node_classification()
file: panrep/panrep_mb_lg_scale_homo.py
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size: 113 LOC
McCabe index: 26
number of parameters: 15

id: 45
unit: def _fit()
file: panrep/panrep_mb_lg_scale_homo.py
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number of parameters: 1

id: 46
unit: def fit()
file: panrep/panrep_mb_lg_scale_homo.py
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number of parameters: 1

id: 47
unit: def load_drkg_edge_few_shot_data()
file: panrep/load_data.py
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size: 93 LOC
McCabe index: 12
number of parameters: 1

id: 48
unit: def load_dblp_univ_preprocessed_data()
file: panrep/load_data.py
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size: 91 LOC
McCabe index: 18
number of parameters: 1

id: 49
unit: def load_acm_univ_data()
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number of parameters: 1

id: 50
unit: def load_oag_nc_lp()
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McCabe index: 1
number of parameters: 1

id: 51
unit: def load_imdb_univ_preprocessed_data()
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size: 85 LOC
McCabe index: 18
number of parameters: 1

id: 52
unit: def load_drkg_univ_data()
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size: 84 LOC
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number of parameters: 1

id: 53
unit: def load_dblp_few_edge_shot_preprocessed_data()
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size: 83 LOC
McCabe index: 18
number of parameters: 1

id: 54
unit: def load_imdb_few_edge_shot_preprocessed_data()
file: panrep/load_data.py
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size: 83 LOC
McCabe index: 18
number of parameters: 1

id: 55
unit: def initiate_model()
file: panrep/panrep_mb_lg_scale_homo.py
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size: 83 LOC
McCabe index: 22
number of parameters: 4

id: 56
unit: def load_ogbn_mag_full_univ_data()
file: panrep/load_data.py
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size: 81 LOC
McCabe index: 15
number of parameters: 1

id: 57
unit: def load_oag_univ_preprocessed_data()
file: panrep/load_data.py
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size: 79 LOC
McCabe index: 18
number of parameters: 1

id: 58
unit: def load_oag_na_univ_preprocessed_data()
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size: 79 LOC
McCabe index: 18
number of parameters: 1

id: 59
unit: def finetune2()
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size: 77 LOC
McCabe index: 11
number of parameters: 0

id: 60
unit: def endtoenddifsplitsimdb()
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number of parameters: 0

id: 61
unit: def mlp_classifier()
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McCabe index: 22
number of parameters: 14

id: 62
unit: def endtoend()
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McCabe index: 10
number of parameters: 0

id: 63
unit: def create_edge_graph_splits()
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size: 69 LOC
McCabe index: 18
number of parameters: 4

id: 64
unit: def create_edge_graph_splits_kge()
file: panrep/load_data.py
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size: 67 LOC
McCabe index: 17
number of parameters: 4

id: 65
unit: def panrep1rw()
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number of parameters: 0

id: 66
unit: def panrep2rw()
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number of parameters: 0

id: 67
unit: def panrep20samplesrw()
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McCabe index: 11
number of parameters: 0

id: 68
unit: def panrep1hoprw()
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number of parameters: 0

id: 69
unit: def panrep10hoprw()
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McCabe index: 11
number of parameters: 0

id: 70
unit: def panrepimdbns10hoprw()
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McCabe index: 11
number of parameters: 0

id: 71
unit: def panrepimdbns5hoprw()
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size: 64 LOC
McCabe index: 11
number of parameters: 0

id: 72
unit: def panrepimdbns5hoprw5()
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McCabe index: 11
number of parameters: 0

id: 73
unit: def panrepimdbns5hoprw10()
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size: 64 LOC
McCabe index: 11
number of parameters: 0

id: 74
unit: def panrepdblrw2ng1()
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size: 64 LOC
McCabe index: 11
number of parameters: 0

id: 75
unit: def panrepdblrw1ng1()
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McCabe index: 11
number of parameters: 0

id: 76
unit: def panrepdblrw1ng5()
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McCabe index: 11
number of parameters: 0

id: 77
unit: def panrepdblrw2ng5()
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size: 64 LOC
McCabe index: 11
number of parameters: 0

id: 78
unit: def panrepdblrw8ng5()
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size: 64 LOC
McCabe index: 11
number of parameters: 0

id: 79
unit: def load_imdb_preprocessed_data()
file: panrep/load_data.py
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size: 63 LOC
McCabe index: 16
number of parameters: 1

id: 80
unit: def __init__()
file: panrep/layers.py
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size: 61 LOC
McCabe index: 16
number of parameters: 12

id: 81
unit: def create_edge_few_shot_splits()
file: panrep/load_data.py
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size: 61 LOC
McCabe index: 17
number of parameters: 5

id: 82
unit: def load_dblp_preprocessed_data()
file: panrep/load_data.py
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size: 58 LOC
McCabe index: 13
number of parameters: 1

id: 83
unit: def load_univ_hetero_data()
file: panrep/load_data.py
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size: 57 LOC
McCabe index: 25
number of parameters: 1

id: 84
unit: def load_link_pred_wn_data()
file: panrep/load_data.py
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size: 57 LOC
McCabe index: 14
number of parameters: 1

id: 85
unit: def load_imdb_data()
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size: 57 LOC
McCabe index: 12
number of parameters: 1

id: 86
unit: def endtoenddifLPsplitsimdb()
file: panrep/plot_data.py
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size: 54 LOC
McCabe index: 9
number of parameters: 0

id: 87
unit: def sample_blocks()
file: panrep/node_sampling_masking.py
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size: 53 LOC
McCabe index: 16
number of parameters: 2

id: 88
unit: def finetune_panrep_fn_for_link_prediction()
file: panrep/panrep_mb_lg_scale_homo.py
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end line: 0
size: 53 LOC
McCabe index: 9
number of parameters: 17

id: 89
unit: def calc_mrr_pr()
file: panrep/utils.py
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end line: 0
size: 49 LOC
McCabe index: 7
number of parameters: 6

id: 90
unit: def load_query_biodata_univ_data()
file: panrep/load_data.py
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end line: 0
size: 48 LOC
McCabe index: 7
number of parameters: 1

id: 91
unit: def create_edge_graph_few_shot_splits_kge()
file: panrep/load_data.py
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end line: 0
size: 46 LOC
McCabe index: 15
number of parameters: 5

id: 92
unit: def load_imdb_prexiang_preprocessed_data()
file: panrep/load_data.py
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size: 46 LOC
McCabe index: 10
number of parameters: 1

id: 93
unit: def forward()
file: panrep/model.py
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size: 45 LOC
McCabe index: 14
number of parameters: 6

id: 94
unit: def panrep()
file: panrep/plot_data.py
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size: 45 LOC
McCabe index: 8
number of parameters: 0

id: 95
unit: def get_loss()
file: panrep/classifiers.py
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size: 44 LOC
McCabe index: 5
number of parameters: 8

id: 96
unit: def get_loss()
file: panrep/decoders.py
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size: 44 LOC
McCabe index: 5
number of parameters: 8

id: 97
unit: def __init__()
file: panrep/layers.py
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size: 43 LOC
McCabe index: 11
number of parameters: 11

id: 98
unit: def load_wn_data()
file: panrep/load_data.py
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size: 43 LOC
McCabe index: 11
number of parameters: 1

id: 99
unit: def initialize_sampler_lp_()
file: panrep/panrep_mb_lg_scale_homo.py
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size: 42 LOC
McCabe index: 5
number of parameters: 5

id: 100
unit: def __init__()
file: panrep/model.py
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end line: 0
size: 41 LOC
McCabe index: 1
number of parameters: 4

id: 101
unit: def hetero_edge_masker_sampler_mb()
file: panrep/edge_masking_samling.py
start line: 0
end line: 0
size: 41 LOC
McCabe index: 5
number of parameters: 6

id: 102
unit: def hetero_edge_masker_sampler()
file: panrep/edge_masking_samling.py
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size: 41 LOC
McCabe index: 5
number of parameters: 5

id: 103
unit: def __init__()
file: panrep/encoders.py
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size: 40 LOC
McCabe index: 3
number of parameters: 8

id: 104
unit: def __init__()
file: panrep/layers.py
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end line: 0
size: 39 LOC
McCabe index: 9
number of parameters: 10

id: 105
unit: def load_link_pred_query_biodata_data()
file: panrep/load_data.py
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end line: 0
size: 39 LOC
McCabe index: 6
number of parameters: 1

id: 106
unit: def load_std_het_full_univ_data()
file: panrep/load_data.py
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end line: 0
size: 38 LOC
McCabe index: 7
number of parameters: 1

id: 107
unit: def initialize_sampler()
file: panrep/panrep_mb_lg_scale_homo.py
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end line: 0
size: 38 LOC
McCabe index: 6
number of parameters: 5

id: 108
unit: def load_kaggle_shoppers_data()
file: panrep/load_data.py
start line: 0
end line: 0
size: 37 LOC
McCabe index: 6
number of parameters: 1

id: 109
unit: def handle_title_basics()
file: data_handler/imdb/imdb_data_loader_xiang.py
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end line: 0
size: 37 LOC
McCabe index: 14
number of parameters: 1

id: 110
unit: def __init__()
file: panrep/classifiers.py
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end line: 0
size: 36 LOC
McCabe index: 3
number of parameters: 11

id: 111
unit: def direct_eval_pr_link_prediction()
file: panrep/evaluation.py
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end line: 0
size: 36 LOC
McCabe index: 7
number of parameters: 16

id: 112
unit: def generate_samples()
file: panrep/classifiers.py
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end line: 0
size: 35 LOC
McCabe index: 8
number of parameters: 2

id: 113
unit: def sample_blocks()
file: panrep/node_sampling_masking.py
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end line: 0
size: 35 LOC
McCabe index: 9
number of parameters: 2

id: 114
unit: def generate_samples()
file: panrep/decoders.py
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end line: 0
size: 35 LOC
McCabe index: 8
number of parameters: 2

id: 115
unit: def generate_samples()
file: panrep/decoders.py
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end line: 0
size: 35 LOC
McCabe index: 8
number of parameters: 2

id: 116
unit: def forward()
file: panrep/layers.py
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end line: 0
size: 34 LOC
McCabe index: 13
number of parameters: 3

id: 117
unit: def __init__()
file: panrep/classifiers.py
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end line: 0
size: 34 LOC
McCabe index: 5
number of parameters: 13

id: 118
unit: def basis_message_func()
file: panrep/layers.py
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end line: 0
size: 33 LOC
McCabe index: 6
number of parameters: 2

id: 119
unit: def __init__()
file: panrep/classifiers.py
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size: 33 LOC
McCabe index: 5
number of parameters: 13

id: 120
unit: def __init__()
file: panrep/encoders.py
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end line: 0
size: 32 LOC
McCabe index: 3
number of parameters: 11

id: 121
unit: def forward_mb()
file: panrep/model.py
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end line: 0
size: 32 LOC
McCabe index: 9
number of parameters: 4

id: 122
unit: def forward()
file: panrep/decoders.py
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end line: 0
size: 32 LOC
McCabe index: 5
number of parameters: 6

id: 123
unit: def handle_crew()
file: data_handler/imdb/imdb_data_loader_xiang.py
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end line: 0
size: 31 LOC
McCabe index: 9
number of parameters: 1

id: 124
unit: def forward_mb()
file: panrep/layers.py
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end line: 0
size: 30 LOC
McCabe index: 12
number of parameters: 3

id: 125
unit: def sample_edge_neighborhood()
file: panrep/utils.py
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end line: 0
size: 29 LOC
McCabe index: 7
number of parameters: 4

id: 126
unit: def __init__()
file: panrep/decoders.py
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end line: 0
size: 29 LOC
McCabe index: 5
number of parameters: 7

id: 127
unit: def parallel_dict_nlp_processing()
file: data_handler/imdb/imdb_data_loader.py
start line: 0
end line: 0
size: 29 LOC
McCabe index: 7
number of parameters: 2

id: 128
unit: def parallel_dict_nlp_processing()
file: data_handler/imdb/imbd_data_loader.py
start line: 0
end line: 0
size: 29 LOC
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id: 174
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id: 188
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id: 203
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id: 204
unit: def load_few_edge_shot_hetero_data()
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id: 205
unit: def calc_pos_score_with_rids_per_rel()
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id: 206
unit: def calc_pos_score_with_rids()
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id: 207
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id: 209
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id: 264
unit: def regularization_loss()
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id: 265
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id: 266
unit: def regularization_loss_mb()
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id: 267
unit: def calc_neg_tail_score()
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id: 268
unit: def calc_neg_head_score()
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id: 269
unit: def create_label_split()
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id: 270
unit: def obtain_embeddings()
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id: 271
unit: def regularization_loss()
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id: 272
unit: def calc_neg_tail_score()
file: panrep/decoders.py
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id: 273
unit: def calc_neg_head_score()
file: panrep/decoders.py
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id: 274
unit: def regularization_loss()
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id: 275
unit: def forward()
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id: 276
unit: def regularization_loss_mb()
file: panrep/decoders.py
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id: 277
unit: def __init__()
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id: 280
unit: def eval_training_of_panrep()
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id: 281
unit: def embed_genre_dic()
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id: 282
unit: def embed_genre_dic()
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id: 283
unit: def message_func_etype()
file: panrep/layers.py
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id: 284
unit: def regularization_loss()
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id: 285
unit: def motif_distribution_to_zero_one()
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id: 286
unit: def classifier_forward_mb()
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id: 287
unit: def link_predictor_forward_mb()
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id: 288
unit: def classifier_forward()
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id: 289
unit: def comp_deg_norm()
file: panrep/utils.py
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id: 290
unit: def calc_score()
file: panrep/decoders.py
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id: 291
unit: def regularization_loss()
file: panrep/decoders.py
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id: 292
unit: def calc_score()
file: panrep/decoders.py
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id: 293
unit: def calc_score()
file: panrep/decoders.py
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id: 294
unit: def loss_function()
file: panrep/decoders.py
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id: 295
unit: def __init__()
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id: 296
unit: def __getitem__()
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id: 297
unit: def compute_acc()
file: panrep/evaluation.py
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id: 298
unit: def matmul_maybe_select()
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unit: def __init__()
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id: 300
unit: def forward_mb()
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unit: def create_features()
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id: 302
unit: def forward()
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id: 303
unit: def forward()
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id: 304
unit: def forward()
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id: 305
unit: def forward_mb()
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id: 306
unit: def forward()
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id: 307
unit: def forward_mb()
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id: 308
unit: def forward()
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id: 309
unit: def forward_mb()
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id: 310
unit: def create_features()
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id: 311
unit: def __init__()
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id: 312
unit: def unmask_nodes()
file: panrep/node_sampling_masking.py
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id: 313
unit: def calculate_entropy()
file: panrep/utils.py
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id: 314
unit: def sort_and_rank()
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id: 315
unit: def __init__()
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unit: def __init__()
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id: 317
unit: def macro_micro_f1()
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id: 318
unit: def __init__()
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id: 319
unit: def dcg_at_k()
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id: 320
unit: def ndcg_at_k()
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id: 321
unit: def embed_person_info()
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id: 322
unit: def edge_attention()
file: panrep/layers.py
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id: 323
unit: def forward()
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id: 324
unit: def build_input_layer()
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id: 325
unit: def build_hidden_layer()
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id: 326
unit: def build_class_output_layer()
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id: 327
unit: def build_reconstruct_output_layer()
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id: 328
unit: def calc_pos_score()
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id: 329
unit: def build_input_layer()
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unit: def build_hidden_layer()
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id: 331
unit: def build_class_output_layer()
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id: 332
unit: def build_reconstruct_output_layer()
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id: 333
unit: def __init__()
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id: 334
unit: def __init__()
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id: 335
unit: def compute_cluster_assignemnts()
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id: 336
unit: def motif_distribution_to_clusters()
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id: 337
unit: def build_test_graph()
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id: 338
unit: def calc_pos_score()
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id: 339
unit: def __init__()
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id: 340
unit: def uniform()
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id: 341
unit: def embed_movie_info()
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id: 342
unit: def sample_edge_uniform()
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id: 343
unit: def forward()
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unit: def forward()
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id: 345
unit: def forward_mb()
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id: 346
unit: def loss_function()
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id: 347
unit: def reset_parameters()
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unit: def forward()
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id: 349
unit: def __len__()
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id: 350
unit: def message_func()
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id: 351
unit: def graph_attribute_prediction()
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id: 352
unit: def graph_structure_prediction()
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id: 353
unit: def graph_structure_properties()
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id: 354
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id: 359
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id: 360
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id: 361
unit: def __init__()
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id: 362
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id: 363
unit: def forward()
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id: 364
unit: def regularization_loss()
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id: 365
unit: def regularization_loss()
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id: 366
unit: def unmask_edges()
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id: 367
unit: def embed_genre()
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