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Functions371 in github.com/daiquocnguyen/QGNN

⨍ Functions 371◇ Types & classes 40
Function__pyx_t_double_complex __Pyx_c_conj_double
QGNN_pytorch/log_uniform/log_uniform.cpp:7703
Function__pyx_t_double_complex __Pyx_c_diff_double
QGNN_pytorch/log_uniform/log_uniform.cpp:7650
Function__pyx_t_double_complex __Pyx_c_neg_double
QGNN_pytorch/log_uniform/log_uniform.cpp:7694
Function__pyx_t_double_complex __Pyx_c_pow_double
QGNN_pytorch/log_uniform/log_uniform.cpp:7717
Function__pyx_t_double_complex __Pyx_c_prod_double
QGNN_pytorch/log_uniform/log_uniform.cpp:7656
Function__pyx_t_double_complex __Pyx_c_quot_double
QGNN_pytorch/log_uniform/log_uniform.cpp:7663
Function__pyx_t_double_complex __Pyx_c_sum_double
QGNN_pytorch/log_uniform/log_uniform.cpp:7644
Function__pyx_t_double_complex __pyx_t_double_complex_from_parts
QGNN_pytorch/log_uniform/log_uniform.cpp:7621
Function__pyx_t_float_complex __Pyx_c_conj_float
QGNN_pytorch/log_uniform/log_uniform.cpp:7548
Function__pyx_t_float_complex __Pyx_c_diff_float
QGNN_pytorch/log_uniform/log_uniform.cpp:7495
Function__pyx_t_float_complex __Pyx_c_neg_float
QGNN_pytorch/log_uniform/log_uniform.cpp:7539
Function__pyx_t_float_complex __Pyx_c_pow_float
QGNN_pytorch/log_uniform/log_uniform.cpp:7562
Function__pyx_t_float_complex __Pyx_c_prod_float
QGNN_pytorch/log_uniform/log_uniform.cpp:7501
Function__pyx_t_float_complex __Pyx_c_quot_float
QGNN_pytorch/log_uniform/log_uniform.cpp:7508
Function__pyx_t_float_complex __Pyx_c_sum_float
QGNN_pytorch/log_uniform/log_uniform.cpp:7489
Function__pyx_t_float_complex __pyx_t_float_complex_from_parts
QGNN_pytorch/log_uniform/log_uniform.cpp:7466
Function__pyx_tp_dealloc_11log_uniform_LogUniformSampler
QGNN_pytorch/log_uniform/log_uniform.cpp:5530
Function__pyx_tp_new_11log_uniform_LogUniformSampler
QGNN_pytorch/log_uniform/log_uniform.cpp:5515
Method_accuracy
(self)
QGNN_tf/models_node_cls.py:111
Method_build
(self)
QGNN_tf/models_node_cls.py:115
Method_call
(self, inputs)
QGNN_tf/layers.py:60
Method_loss
(self)
QGNN_tf/models_node_cls.py:102
Functionchebyshev_polynomials
Calculate Chebyshev polynomials up to order k. Return a list of sparse matrices (tuple representation).
TextQGNN/utils.py:168
Functionchebyshev_polynomials
Calculate Chebyshev polynomials up to order k. Return a list of sparse matrices (tuple representation).
QGNN_tf/utils_node_cls.py:149
Functionchebyshev_polynomials
Calculate Chebyshev polynomials up to order k. Return a list of sparse matrices (tuple representation).
QGNN_pytorch/utils_node_cls.py:149
Functionclean_str
Tokenization/string cleaning for all datasets except for SST. Original taken from https://github.com/yoonkim/CNN_sentence/blob/master/process
TextQGNN/utils.py:211
Functionclean_str_sst
Tokenization/string cleaning for the SST dataset
TextQGNN/utils.py:231
Functionconstruct_feed_dict
Construct feed dictionary.
TextQGNN/utils.py:157
Functionconstruct_feed_dict
Construct feed dictionary.
QGNN_pytorch/utils_node_cls.py:138
Functioncoo_to_tuple
(sparse_coo)
TextQGNN/utils.py:115
Methodforward
(self, inputs, adj)
q4gnn.py:67
Methodforward
(self, input, adj)
q4gnn.py:90
Methodforward
(self, input, adj, double_type_used_in_graph=False)
q4gnn.py:118
Methodforward
(self, input, adj)
q4gnn.py:172
Methodforward
(self, input, adj)
q4gnn.py:193
Methodforward
(self, e1_idx, r_idx, lst_ents)
SimQGNN/models_SimQGNN.py:79
Methodforward
(self, input, adj)
SimQGNN/models_SimQGNN.py:158
Methodforward
(self, input, adj)
SimQGNN/models_SimQGNN.py:186
Methodforward
(self, inputs, adj, mask)
TextQGNN/model_TextQGNN.py:73
Methodforward
(self, inputs, adj, mask)
TextQGNN/model_TextQGNN.py:124
Methodforward
(self, inputs, labels)
QGNN_pytorch/sampled_softmax.py:29
Methodforward
(self, Adj_block, X_concat, graph_pool)
QGNN_pytorch/model_graph_Sup.py:29
Methodforward
(self, Adj_block, X_concat, idx_nodes)
QGNN_pytorch/model_graph_UnSup.py:29
Methodforward
(self, input, adj)
QGNN_pytorch/q4gnn.py:38
Methodforward
(self, input, adj, double_type_used_in_graph=False)
QGNN_pytorch/q4gnn.py:66
Methodforward
(self, input, adj)
QGNN_pytorch/q4gnn.py:120
Methodforward
(self, input, adj)
QGNN_pytorch/q4gnn.py:141
Methodforward
(self, x, adj)
QGNN_pytorch/train_node_cls.py:83
Functionlayer_norm
(inputs, name, epsilon=1e-8)
QGNN_tf/inits.py:109
FunctionloadWord2Vec
Read Word Vectors
TextQGNN/utils.py:191
Functionnormalization
(quaternion, split_dim=1)
SimQGNN/models_SimQGNN.py:91
Functionones
All ones.
QGNN_tf/inits.py:24
Methodoperator !=
QGNN_pytorch/log_uniform/log_uniform.cpp:335
Methodoperator ==
QGNN_pytorch/log_uniform/log_uniform.cpp:334
Methodoperator&
QGNN_pytorch/log_uniform/log_uniform.cpp:332
Methodoperator->
QGNN_pytorch/log_uniform/log_uniform.cpp:331
Functionparse_index_file
Parse index file.
TextQGNN/utils.py:14
Methodpredict
(self)
QGNN_tf/models_node_cls.py:62
Methodpredict
(self)
QGNN_tf/models_node_cls.py:133
Functionpreprocess_adj
Preprocessing of adjacency matrix for simple GCN model and conversion to tuple representation.
QGNN_pytorch/utils_node_cls.py:132
Functionpreprocess_features
Row-normalize feature matrix and convert to tuple representation
QGNN_tf/utils_node_cls.py:112
Functionpreprocess_features
Row-normalize feature matrix and convert to tuple representation
QGNN_pytorch/utils_node_cls.py:112
Functionquaternion_ffn
Implements quaternion feed-forward layer x is [bsz x features] tensor
QGNN_tf/layers.py:19
Functionregularization
(quaternion)
SimQGNN/models_SimQGNN.py:125
Functionsample_mask
Create mask.
TextQGNN/utils.py:22
Methodsave
(self, sess=None)
QGNN_tf/models_node_cls.py:71
Functionsparse_to_tuple
(sparse_mx)
QGNN_tf/utils_graph_cls.py:159
Functionsparse_to_tuple
(sparse_mx)
QGNN_pytorch/utils_graph_cls.py:159
Functionuniform
Uniform init.
QGNN_tf/inits.py:5
Functionvec_vec_quaternion_multiplication
(q, p)
SimQGNN/models_SimQGNN.py:115
Functionzeros
All zeros.
QGNN_tf/inits.py:18
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