grb

• grb.attack
  • grb.attack.base
    • Attack
      • Attack.attack()
    • EarlyStop
    • InjectionAttack
      • InjectionAttack.attack()
      • InjectionAttack.injection()
      • InjectionAttack.update_features()
    • ModificationAttack
      • ModificationAttack.attack()
      • ModificationAttack.modification()
  • grb.attack.fgsm
  • grb.attack.pgd
  • grb.attack.rnd
  • grb.attack.speit
  • grb.attack.tdgia
• grb.dataset
  • grb.dataset.dataset
    • CogDLDataset
      • CogDLDataset.COGDL_GRAPH_CLASSIFICATION_DATASETS
      • CogDLDataset.build_adj()
      • CogDLDataset.graph_splitting()
    • CustomDataset
      • CustomDataset.adj
      • CustomDataset.features
      • CustomDataset.labels
      • CustomDataset.num_nodes
      • CustomDataset.num_edges
      • CustomDataset.num_features
      • CustomDataset.num_classes
      • CustomDataset.num_train
      • CustomDataset.num_val
      • CustomDataset.num_test
      • CustomDataset.mode
      • CustomDataset.index_train
      • CustomDataset.index_val
      • CustomDataset.index_test
      • CustomDataset.train_mask
      • CustomDataset.val_mask
      • CustomDataset.test_mask
    • Dataset
      • Dataset.adj
      • Dataset.features
      • Dataset.labels
      • Dataset.num_nodes
      • Dataset.num_edges
      • Dataset.num_features
      • Dataset.num_classes
      • Dataset.num_train
      • Dataset.num_val
      • Dataset.num_test
      • Dataset.mode
      • Dataset.index_train
      • Dataset.index_val
      • Dataset.index_test
      • Dataset.train_mask
      • Dataset.val_mask
      • Dataset.test_mask
    • OGBDataset
      • OGBDataset.OGB_GRAPH_CLASSIFICATION_DATASETS
      • OGBDataset.OGB_NODE_CLASSIFICATION_DATASETS
    • feat_normalize()
    • splitting()
• grb.defense
  • grb.defense.adv_trainer
    • AdvTrainer
      • AdvTrainer.evaluate()
      • AdvTrainer.inference()
      • AdvTrainer.train()
    • EarlyStop
  • grb.defense.base
    • Defense
      • Defense.defense()
  • grb.defense.gcnsvd
    • GCNSVD
      • GCNSVD.forward()
      • GCNSVD.model_type
      • GCNSVD.training
      • GCNSVD.truncatedSVD()
  • grb.defense.gnnguard
    • GATGuard
      • GATGuard.att_coef()
      • GATGuard.forward()
      • GATGuard.model_type
      • GATGuard.training
    • GCNGuard
      • GCNGuard.att_coef()
      • GCNGuard.forward()
      • GCNGuard.model_type
      • GCNGuard.reset_parameters()
      • GCNGuard.training
• grb.evaluator
  • grb.evaluator.evaluator
    • AttackEvaluator
      • AttackEvaluator.eval()
      • AttackEvaluator.eval_attack()
      • AttackEvaluator.eval_metric()
    • DefenseEvaluator
  • grb.evaluator.metric
    • eval_acc()
    • eval_f1multilabel()
    • eval_rocauc()
    • get_weights_arithmetic()
    • get_weights_polynomial()
• grb.model
  • grb.model.cogdl
  • grb.model.dgl
    • grb.model.dgl.gat
      • GAT
    • grb.model.dgl.gcn
      • GCN
    • grb.model.dgl.gin
      • ApplyNodeFunc
      • GIN
      • MLP
    • grb.model.dgl.grand
      • GRAND
      • GRANDConv()
      • drop_node()
  • grb.model.torch
    • grb.model.torch.appnp
      • APPNP
      • SparseEdgeDrop
    • grb.model.torch.gcn
      • GCN
      • GCNConv
      • GCNGC
    • grb.model.torch.gin
      • GIN
      • GINConv
    • grb.model.torch.graphsage
      • GraphSAGE
      • SAGEConv
    • grb.model.torch.robustgcn
    • grb.model.torch.sgcn
      • SGCN
      • SGConv
    • grb.model.torch.tagcn
      • TAGCN
      • TAGConv
• grb.utils
  • grb.utils.normalize
    • GCNAdjNorm()
    • RobustGCNAdjNorm()
    • SAGEAdjNorm()
    • SPARSEAdjNorm()
    • feature_normalize()
  • grb.utils.trainer
  • grb.utils.utils
    • adj_preprocess()
    • adj_to_tensor()
    • build_adj()
    • check_feat_range()
    • check_symmetry()
    • download()
    • evaluate()
    • feat_preprocess()
    • fix_seed()
    • get_index_induc()
    • get_num_params()
    • inference()
    • label_preprocess()
    • save_adj()
    • save_df_to_csv()
    • save_df_to_xlsx()
    • save_dict_to_json()
    • save_dict_to_xlsx()
    • save_features()
    • save_model()
  • grb.utils.visualize
    • plot_graph()