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github.com/Amanda-Zheng/SFGC
/ functions
Functions
260 in github.com/Amanda-Zheng/SFGC
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Functions
260
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Types & classes
42
Method
get
(self, idx)
buffer_transduct.py:241
Method
get
(self, idx)
models/gat.py:133
Function
get_mnist
(data_path)
utils.py:326
Function
gpu_memory_log
(gpu_log_file="gpu_mem.log", device=0)
models/gpu_memory_log.py:27
Function
index_to_mask
(index, size)
utils.py:99
Method
inference
(self, x)
models/parametrized_adj.py:77
Function
loss_acc_fn_train
(data, k_ss, k_ts, y_support, y_target, reg=5e-2)
metagtt_inductive_adj_identity.py:460
Function
loss_acc_fn_train
(data, k_ss, k_ts, y_support, y_target, reg=5e-2)
metagtt_transduct_adj_identity2.py:455
Function
loss_acc_fn_train
(data, k_ss, k_ts, y_support, y_target, reg=5e-2)
metagtt_transduct_adj_identity.py:573
Function
match_loss
(gw_syn, gw_real, args, device)
utils.py:235
Function
maxdegree
(adj)
utils.py:357
Method
message
(self, x_j: Tensor, alpha_j: Tensor, alpha_i: OptTensor, index: Tensor, ptr: OptTensor,
models/mygatconv.py:184
Method
num_classes
r"""The number of classes in the dataset.
models/in_memory_dataset.py:58
Method
predict
(self, data)
models/gat.py:53
Method
predict_unnorm
(self, features=None, adj=None)
models/myappnp1.py:285
Method
predict_unnorm
(self, features=None, adj=None)
models/gcn.py:291
Method
predict_unnorm
(self, features=None, adj=None)
models/sgc.py:278
Method
predict_unnorm
(self, features=None, adj=None)
models/mygraphsage.py:341
Method
predict_unnorm
(self, features=None, adj=None)
models/mycheby.py:352
Method
predict_unnorm
(self, features=None, adj=None)
models/myappnp.py:278
Method
predict_unnorm
(self, features=None, adj=None)
models/sgc_multi.py:263
Method
process
r"""Processes the dataset to the :obj:`self.processed_dir` folder.
models/in_memory_dataset.py:46
Method
process____
(self)
buffer_inductive.py:187
Method
process____
(self)
buffer_transduct.py:193
Method
process____
(self)
models/gat.py:84
Method
processed_file_names
(self)
buffer_inductive.py:256
Method
processed_file_names
(self)
utils_graphsaint.py:305
Method
processed_file_names
(self)
buffer_transduct.py:261
Method
processed_file_names
(self)
models/gat.py:153
Method
processed_file_names
r"""The name of the files to find in the :obj:`self.processed_dir` folder in order to skip the processing.
models/in_memory_dataset.py:37
Method
raw_file_names
(self)
buffer_inductive.py:252
Method
raw_file_names
(self)
utils_graphsaint.py:301
Method
raw_file_names
(self)
buffer_transduct.py:257
Method
raw_file_names
(self)
models/gat.py:149
Method
raw_file_names
r"""The name of the files to find in the :obj:`self.raw_dir` folder in order to skip the download.
models/in_memory_dataset.py:31
Function
regularization
(adj, x, eig_real=None)
utils.py:350
Method
retrieve_class
(self, c, num=256)
utils_graphsaint.py:86
Method
retrieve_class
(self, c, num=256)
utils_graphsaint.py:250
Method
retrieve_class
(self, c, num=256)
utils.py:143
Method
retrieve_class_multi_sampler
(self, c, adj, transductive, num=256, args=None)
utils.py:189
Method
retrieve_class_sampler
(self, c, adj, transductive, num=256, args=None)
utils_graphsaint.py:95
Method
retrieve_class_sampler
(self, c, adj, transductive, num=256, args=None)
utils.py:152
Method
retrieve_class_sampler_train
(self,transductive, num_per_class=64)
utils_graphsaint.py:212
Method
retrieve_class_sampler_v2
(self, dataset, c, adj, transductive, num=256, nlayers=2, option=0)
utils_graphsaint.py:137
Method
retrieve_class_sampler_v3
(self,transductive, num_per_class=64)
utils_graphsaint.py:180
Method
retrieve_class_sampler_val
(self,transductive, num_per_class=64)
utils_graphsaint.py:195
Method
select
(self, embeds, inductive=False)
coreset/all_methods.py:47
Method
select
(self, embeds, inductive=False)
coreset/all_methods.py:82
Method
select
(self, embeds, inductive=False)
coreset/all_methods.py:115
Method
show_memory
查看变量占用内存情况 :param unit: 显示的单位，可为`B`,`KB`,`MB`,`GB` :param threshold: 仅显示内存数值大于等于threshold的变量
gntk_cond.py:67
Function
sparsity
(adj)
utils.py:367
Function
sparsity2
(adj)
utils.py:361
Method
test
Evaluate GCN performance on test set. Parameters ---------- idx_test : node testing indices
models/myappnp1.py:237
Method
test
Evaluate GCN performance on test set. Parameters ---------- idx_test : node testing indices
models/gcn.py:243
Method
test
Evaluate GCN performance on test set. Parameters ---------- idx_test : node testing indices
models/sgc.py:230
Method
test
Evaluate GCN performance on test set. Parameters ---------- idx_test : node testing indices
models/mygraphsage.py:293
Method
test
Evaluate GCN performance on test set. Parameters ---------- idx_test : node testing indices
models/mycheby.py:299
Method
test
Evaluate GCN performance on test set. Parameters ---------- idx_test : node testing indices
models/myappnp.py:230
Method
test
Evaluate GCN performance on test set. Parameters ---------- idx_test : node testing indices
models/sgc_multi.py:215
Method
weight_reset
(m)
models/parametrized_adj.py:83
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