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Functions260 in github.com/Amanda-Zheng/SFGC

↓ 1 callersMethodpredict
By default, the inputs should be unnormalized adjacency Parameters ---------- features : node features. If `featur
models/sgc.py:249
↓ 1 callersMethodpredict
By default, the inputs should be unnormalized adjacency Parameters ---------- features : node features. If `featur
models/mygraphsage.py:312
↓ 1 callersMethodpredict
By default, the inputs should be unnormalized adjacency Parameters ---------- features : node features. If `featur
models/mycheby.py:318
↓ 1 callersMethodpredict
By default, the inputs should be unnormalized adjacency Parameters ---------- features : node features. If `featur
models/myappnp.py:249
↓ 1 callersMethodpredict
By default, the inputs should be unnormalized adjacency Parameters ---------- features : node features. If `featur
models/sgc_multi.py:234
↓ 1 callersMethodprocess
(self)
buffer_inductive.py:208
↓ 1 callersMethodprocess
(self)
utils_graphsaint.py:270
↓ 1 callersMethodprocess
(self)
buffer_transduct.py:214
↓ 1 callersMethodprocess
(self)
models/gat.py:106
↓ 1 callersMethodprocess_labels
setup vertex property map for output classests
utils_graphsaint.py:67
↓ 1 callersMethodreplaced_buffers
(self, buffers)
models/reparam_module.py:127
↓ 1 callersMethodreset_parameters
(self)
models/mygatconv.py:95
↓ 1 callersMethodreset_parameters
(self)
models/mycheby.py:36
↓ 1 callersFunctiontest
(args, data, device, model_type, nruns)
test_condg.py:68
Method__init__
(self, data, args, device='cuda', **kwargs)
metagtt_inductive_adj_identity.py:21
Method__init__
(self, data, args, device='cuda', **kwargs)
metagtt_transduct_adj_identity2.py:24
Method__init__
(self, features, adj, labels, idx_train=None, idx_val=None, idx_test=None)
buffer_inductive.py:163
Method__init__
(self, dpr_data, transform=None, **kwargs)
buffer_inductive.py:179
Method__init__
num_layers: number of layers in the neural networks (including the input layer) num_mlp_layers: number of MLP layers jk: a bo
gntk_cond.py:11
Method__init__
(self, dataset, **kwargs)
utils_graphsaint.py:15
Method__init__
(self, adj, features, labels, idx_train, idx_val, idx_test)
utils_graphsaint.py:231
Method__init__
(self, data, device='cuda', transform=None, **kwargs)
utils_graphsaint.py:242
Method__init__
(self, dpr_data, transform=None, **kwargs)
utils_graphsaint.py:262
Method__init__
(self, pyg_data, **kwargs)
utils.py:54
Method__init__
(self, dpr_data, keep_ratio=1.0)
utils.py:109
Method__init__
(self, data, args, device='cuda', **kwargs)
metagtt_transduct_adj_identity.py:31
Method__init__
(self, features, adj, labels, idx_train=None, idx_val=None, idx_test=None)
buffer_transduct.py:169
Method__init__
(self, dpr_data, transform=None, **kwargs)
buffer_transduct.py:185
Method__init__
(self, data, args, device='cuda', **kwargs)
coreset/all_methods.py:44
Method__init__
(self, data, args, device='cuda', **kwargs)
coreset/all_methods.py:79
Method__init__
(self, data, args, device='cuda', **kwargs)
coreset/all_methods.py:112
Method__init__
(self, in_features, out_features, with_bias=True)
models/myappnp1.py:301
Method__init__
(self, dprob=0.5)
models/myappnp1.py:336
Method__init__
(self, in_channels: Union[int, Tuple[int, int]], out_channels: int, heads: int = 1, concat: b
models/mygatconv.py:58
Method__init__
(self, nfeat, nnodes, nhid=128, nlayers=3, device=None, args=None)
models/parametrized_adj.py:13
Method__init__
(self, in_features, out_features, with_bias=True)
models/gcn.py:16
Method__init__
(self, in_features, out_features, with_bias=True)
models/sgc.py:18
Method__init__
(self, features, adj, labels, idx_train=None, idx_val=None, idx_test=None)
models/gat.py:61
Method__init__
(self, dpr_data,transform=None, **kwargs)
models/gat.py:76
Method__init__
(self, root=None, transform=None, pre_transform=None, pre_filter=None)
models/in_memory_dataset.py:50
Method__init__
(self, module)
models/reparam_module.py:18
Method__init__
(self, in_features, out_features, with_bias=True, root_weight=False)
models/mygraphsage.py:19
Method__init__
set single_param to True to alleivate the overfitting issue
models/mycheby.py:20
Method__init__
(self, in_features, out_features, with_bias=True)
models/mycheby.py:365
Method__init__
(self, in_features, out_features, with_bias=True)
models/myappnp.py:294
Method__init__
(self, dprob=0.5)
models/myappnp.py:329
Method__init__
(self, in_features, out_features, with_bias=True)
models/sgc_multi.py:279
Method__repr__
(self)
models/myappnp1.py:330
Method__repr__
(self)
models/mygatconv.py:197
Method__repr__
(self)
models/gcn.py:46
Method__repr__
(self)
models/sgc.py:49
Method__repr__
(self)
models/mygraphsage.py:65
Method__repr__
(self)
models/mycheby.py:77
Method__repr__
(self)
models/mycheby.py:394
Method__repr__
(self)
models/myappnp.py:323
Method__repr__
(self)
models/sgc_multi.py:308
Method_apply
(self, *args, **kwargs)
models/reparam_module.py:103
Method_download
(self)
buffer_inductive.py:259
Method_download
(self)
utils_graphsaint.py:308
Method_download
(self)
buffer_transduct.py:264
Method_download
(self)
models/gat.py:156
Method_train_with_val2
(self, labels, idx_train, idx_val, train_iters, verbose)
models/gcn.py:304
Methodclear_views
(self)
models/reparam_module.py:99
Methoddistill
(self, writer)
metagtt_transduct_adj_identity2.py:164
Methoddistill
(self, writer)
metagtt_transduct_adj_identity.py:176
Methoddownload
r"""Downloads the dataset to the :obj:`self.raw_dir` folder.
models/in_memory_dataset.py:42
Functionevaluate
(output, labels, args)
utils.py:305
Methodfit_with_val
data: full data class
models/myappnp1.py:143
Methodfit_with_val
data: full data class
models/gcn.py:150
Methodfit_with_val
data: full data class
models/sgc.py:135
Methodfit_with_val
data: full data class
models/mygraphsage.py:170
Methodfit_with_val
data: full data class
models/mycheby.py:184
Methodfit_with_val
data: full data class
models/myappnp.py:134
Methodfit_with_val
data: full data class
models/sgc_multi.py:121
Methodforward
(self, input)
models/myappnp1.py:319
Methodforward
(self, x, training)
models/myappnp1.py:340
Methodforward
r""" Args: return_attention_weights (bool, optional): If set to :obj:`True`, will additionally return the tuple
models/mygatconv.py:102
Methodforward
Graph Convolutional Layer forward function
models/gcn.py:30
Methodforward
Graph Convolutional Layer forward function
models/sgc.py:33
Methodforward
Graph Convolutional Layer forward function
models/mygraphsage.py:42
Methodforward
Graph Convolutional Layer forward function
models/mycheby.py:41
Methodforward
(self, input)
models/mycheby.py:383
Methodforward
(self, input)
models/myappnp.py:312
Methodforward
(self, x, training)
models/myappnp.py:333
Methodforward
(self, input)
models/sgc_multi.py:297
Methodforward_sampler
(self, x, adjs)
models/myappnp1.py:89
Methodforward_sampler
(self, x, adjs)
models/gcn.py:111
Methodforward_sampler
(self, x, adjs)
models/sgc.py:100
Methodforward_sampler
(self, x, adjs)
models/mycheby.py:142
Methodforward_sampler
(self, x, adjs)
models/myappnp.py:80
Methodforward_sampler
(self, x, adjs)
models/sgc_multi.py:73
Methodforward_sampler_syn
(self, x, adjs)
models/myappnp1.py:114
Methodforward_sampler_syn
(self, x, adjs)
models/gcn.py:126
Methodforward_sampler_syn
(self, x, adjs)
models/sgc.py:112
Methodforward_sampler_syn
(self, x, adjs)
models/mygraphsage.py:146
Methodforward_sampler_syn
(self, x, adjs)
models/mycheby.py:160
Methodforward_sampler_syn
(self, x, adjs)
models/myappnp.py:105
Methodforward_sampler_syn
(self, x, adjs)
models/sgc_multi.py:92
Methodget
(self, idx)
buffer_inductive.py:236
Methodget
(self, idx)
utils_graphsaint.py:286
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