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Functions109 in github.com/NineAbyss/ZeroG

⨍ Functions 109◇ Types & classes 20

↓ 5 callersMethod__init__

(self, in_dim, emb_dim, num_layer, kernel='gcn', drop_ratio=0, act='relu', norm='batchnorm',

code/model.py:49

↓ 4 callersMethod__init__

(self, root, name, transform=None, pre_transform=None)

code/dataset_benchmark.py:209

↓ 3 callersFunctionload_dataset

Wrapper functions for data loader

code/dataset_benchmark.py:624

↓ 3 callersFunctionobtain_act

Return activation function module

code/utils.py:183

↓ 2 callersMethod__init__

(self, input_dim, hidden_dim, output_dim)

code/utils.py:281

↓ 2 callersMethoddiscriminate

(self, h, summary)

code/model.py:183

↓ 2 callersFunctioneval

(i,idx,model, test_data, args)

code/main_TextBP_benchmark.py:166

↓ 2 callersMethodget

code/SubgraphDataset.py:98

↓ 2 callersMethodget_taxonomy

code/dataset_benchmark.py:367

↓ 2 callersMethodnormalize_adjacency_matrix

(self, edge_index, num_nodes)

code/st_model.py:117

↓ 2 callersMethodnormalize_adjacency_matrix

(self, edge_index, num_nodes)

code/st_model.py:297

↓ 1 callersMethod__init__

code/st_model.py:11

↓ 1 callersMethod__init__

(self, data, num_hops=1, max_nodes=100, dataset_name="Cora", transform=None, pre_transform=None)

code/SubgraphDataset.py:52

↓ 1 callersMethod_create_subgraphs

code/SubgraphDataset.py:72

↓ 1 callersMethod_find_valid_subgraphs

code/SubgraphDataset.py:167

↓ 1 callersMethod_random_split

split the dataset into training set, validation set and testing set

code/dataset_benchmark.py:167

↓ 1 callersFunctionbuild_args

code/main_TextBP_benchmark.py:74

↓ 1 callersMethodencding_mask

code/model.py:238

↓ 1 callersMethodforward

(self, x, edge_index, edge_weigt=None, batch=None)

code/model.py:225

↓ 1 callersMethodget

code/SubgraphDataset.py:188

↓ 1 callersMethodget_texts

code/dataset_benchmark.py:345

↓ 1 callersFunctioninfomax_corruption

(features, batch)

code/utils.py:237

↓ 1 callersMethodlabel_emb_func

code/dataset_benchmark.py:430

↓ 1 callersMethodlabel_emb_func

code/dataset_benchmark.py:490

↓ 1 callersFunctionload_link_dataset

(root, name, args)

code/dataset_benchmark.py:610

↓ 1 callersFunctionload_node_dataset

Wrapper functions for node level data loader

code/dataset_benchmark.py:574

↓ 1 callersFunctionload_tu_dataset

Data loader for TUDataset

code/dataset_benchmark.py:313

↓ 1 callersFunctionlogger_config

(log_path, logging_name)

code/main_TextBP_benchmark.py:21

↓ 1 callersFunctionobtain_norm

Return normalization function module

code/utils.py:205

↓ 1 callersFunctionsce_loss

(x, y, alpha=3)

code/utils.py:424

↓ 1 callersFunctionset_random_seed

code/utils.py:24

↓ 1 callersMethodtext_emb

code/dataset_benchmark.py:420

↓ 1 callersMethodtext_emb

code/dataset_benchmark.py:536

↓ 1 callersMethodzero_shot_eval

(self, node_embeds, label_embeds, data)

code/st_model.py:81

Method__getitem__

code/utils.py:259

Method__getitem__

code/utils.py:317

Method__getitem__

code/SubgraphDataset.py:101

Method__getitem__

code/SubgraphDataset.py:205

(self, data, args)

code/dataset_benchmark.py:27

(self, root, name, transform=None, pre_transform=None, random_seed=717, train_size=0.7, val_s

code/dataset_benchmark.py:111

(self, root, name, transform=None, pre_transform=None)

code/dataset_benchmark.py:270

(self, name, args, root='dataset')

code/dataset_benchmark.py:328

(self, root, name, args, transform=None, pre_transform=None)

code/dataset_benchmark.py:464

(self, features, label_emb, label)

code/utils.py:251

(self, input_dim: int, target_dim: int)

code/utils.py:263

(self, original_dataset)

code/utils.py:300

code/st_model.py:143

(self, data, num_hops=1, max_nodes=100, dataset_name="Arxiv", transform=None, pre_transform=None)

code/SubgraphDataset.py:148

(self, in_dim, emb_dim, out_dim, num_layer, act='relu')

code/model.py:15

(self, in_dim, emb_dim, num_layer, kernel='gcn', drop_ratio=0, act='relu', norm=None)

code/model.py:104

(self, in_dim, emb_dim, num_layer, kernel='gcn', drop_ratio=0, act='relu', norm=None)

code/model.py:156

(self, in_dim, emb_dim, num_layer, kernel='gcn', drop_ratio=0, act='relu', norm=None, concat=

code/model.py:208

(self, encoder)

code/model.py:280

code/utils.py:256

code/utils.py:314

code/dataset_benchmark.py:200

Functionbuild_args

code/utils.py:38

Functioncreate_k_shot_mask

code/utils.py:436

Functioncreate_logger

code/utils.py:128

Functioncycle_index

code/utils.py:390

code/dataset_benchmark.py:41

(X, Y, labels, args)

code/utils.py:407

code/dataset_benchmark.py:142

code/dataset_benchmark.py:233

code/dataset_benchmark.py:297

(self, x, edge_index, edge_weigt=None, batch=None)

code/model.py:275

Methodfeature_embedding

code/dataset_benchmark.py:52

Functionformat_time

Takes a time in seconds and returns a string hh:mm:ss

code/main_TextBP_benchmark.py:36

(self, x: torch.Tensor)

code/utils.py:273

code/utils.py:290

code/st_model.py:33

(self, data,args)

code/st_model.py:201

code/model.py:39

(self, x, edge_index, edge_weight=None, batch=None)

code/model.py:82

(self, x, edge_index, edge_weigt=None, batch=None)

code/model.py:113

(self, x, edge_index, edge_weigt=None, batch=None)

code/model.py:172

code/model.py:306

Methodget_labels

code/dataset_benchmark.py:397

Functionget_logger

code/main_TextBP_benchmark.py:45

(self, x, x_aug, batch_size)

code/model.py:121

(self, pos_h, neg_h, summary)

code/model.py:189

(self, x, edge_index, edge_weigt=None, batch=None)

code/model.py:268

Methodget_splits

code/dataset_benchmark.py:405

Functiongraphcl_augmentation

(features, edge_index)

code/utils.py:223

Methodlabel_embedding

code/dataset_benchmark.py:44

code/SubgraphDataset.py:95

code/SubgraphDataset.py:185

Functionnormalize_adjacency_matrix

code/utils.py:450

code/dataset_benchmark.py:147

code/dataset_benchmark.py:236

code/dataset_benchmark.py:302

code/dataset_benchmark.py:563

Methodprocessed_dir

code/dataset_benchmark.py:130

Methodprocessed_dir

code/dataset_benchmark.py:221

Methodprocessed_dir

code/dataset_benchmark.py:285

Methodprocessed_dir

code/dataset_benchmark.py:551

Methodprocessed_file_names

code/dataset_benchmark.py:139

Methodprocessed_file_names

code/dataset_benchmark.py:230

Methodprocessed_file_names

code/dataset_benchmark.py:294

Methodprocessed_file_names

code/dataset_benchmark.py:560

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