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Functions50 in github.com/Kaixiong-Zhou/DGN

↓ 3 callersFunctionevaluate
(output, labels, mask)
trainer.py:69
↓ 2 callersFunctionentropy_estimator_bd
(x, var)
MI/kde.py:29
↓ 2 callersMethodfilename
(self, filetype='logs', type_model='GCN', dataset='PPI')
trainer.py:232
↓ 2 callersMethodrun_testSet
(self)
trainer.py:220
↓ 1 callersFunctionKget_dists
Keras code to compute the pairwise distance matrix for a set of vectors specifie by the matrix X.
MI/kde.py:8
↓ 1 callersMethodcompute_MI
(self)
trainer.py:121
↓ 1 callersMethoddis_cluster
(self)
trainer.py:175
↓ 1 callersFunctionentropy_estimator_kl
(x, var)
MI/kde.py:16
↓ 1 callersFunctionget_unique_probs
(x)
MI/kde.py:3
↓ 1 callersMethodinitialize
(self)
options/base_options.py:69
↓ 1 callersFunctionload_data
(dataset="Cora")
GCNII_Cora.py:14
↓ 1 callersFunctionload_data
(dataset="Cora")
trainer.py:17
↓ 1 callersMethodload_model
(self, type_model='GCN', dataset='PPI')
trainer.py:270
↓ 1 callersFunctionmain
(args)
main.py:29
↓ 1 callersFunctionmi_kde
(h, inputdata, var=0.1)
MI/kde.py:42
↓ 1 callersMethodnorm
(edge_index, num_nodes, edge_weight=None, improved=False, dtype=None)
GCNII_layer.py:65
↓ 1 callersMethodnorm
(self, x, edge_index)
models/simpleGCN.py:38
↓ 1 callersFunctionremove_feature
(data, miss_rate)
GCNII_Cora.py:29
↓ 1 callersFunctionremove_feature
(data, miss_rate)
trainer.py:59
↓ 1 callersMethodreset_model_parameter
(self, args)
options/base_options.py:102
↓ 1 callersMethodreset_parameters
(self)
GCNII_layer.py:58
↓ 1 callersFunctionreset_weight
(args)
options/base_options.py:3
↓ 1 callersMethodrun_trainSet
(self)
trainer.py:208
↓ 1 callersMethodsave_model
(self, type_model='GCN', dataset='PPI')
trainer.py:278
↓ 1 callersFunctionset_seed
(seed)
GCNII_Cora.py:38
↓ 1 callersFunctionset_seed
(args)
main.py:8
↓ 1 callersFunctiontest
()
GCNII_Cora.py:151
↓ 1 callersFunctiontrain
()
GCNII_Cora.py:141
↓ 1 callersMethodtrain_compute_MI
(self)
trainer.py:132
↓ 1 callersMethodtrain_net
(self)
trainer.py:110
Method__init__
(self)
GCNII_Cora.py:92
Method__init__
(self, in_channels, out_channels, improved=False, cached=True, **kwargs)
GCNII_layer.py:43
Method__init__
(self, args)
trainer.py:75
Method__init__
Reset the class; indicates the class hasn't been initailized
options/base_options.py:66
Method__init__
(self, args)
models/GAT.py:7
Method__init__
(self, dim_hidden, type_norm, skip_connect=False, num_groups=1, skip_weight=0.005)
models/common_blocks.py:6
Method__init__
(self, args)
models/simpleGCN.py:11
Method__init__
(self, args)
models/GCN.py:7
Method__repr__
(self)
GCNII_layer.py:111
Methodforward
(self)
GCNII_Cora.py:113
Methodforward
(self, x, edge_index, alpha, h0, beta, edge_weight=None)
GCNII_layer.py:82
Methodforward
(self, x, edge_index)
models/GAT.py:49
Methodforward
(self, x)
models/common_blocks.py:22
Methodforward
(self, x, edge_index)
models/simpleGCN.py:47
Methodforward
(self, x, edge_index)
models/GCN.py:44
Functiongcn_norm
(edge_index, edge_weight=None, num_nodes=None, improved=False, add_self_loops=True, dtype=None)
GCNII_layer.py:20
Methodget_numbers
(items, delimiter, idx, replace_word, must_contain='')
trainer.py:260
Methodget_saved_info
(self, path=None)
trainer.py:256
Functionkde_condentropy
(x, var)
MI/kde.py:36
Methodmessage
(self, x_j, norm)
GCNII_layer.py:107