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Types & classes32 in github.com/JhuoW/ERIC

⨍ Functions 241◇ Types & classes 32
↓ 7 callersClassTensorNetworkModule
model/layers.py:163
↓ 6 callersClassMLPLayers
model/layers.py:31
↓ 5 callersClassGSC
model/GSC.py:16
↓ 2 callersClassData
DataHelper/simgnn_utils.py:37
↓ 2 callersClassDatasetLocal
DataHelper/DatasetLocal.py:13
↓ 2 callersClassFF
model/layers.py:210
↓ 2 callersClassTrainer
training_procedure/__init__.py:10
↓ 1 callersClassAIDSData
DataHelper/simgnn_utils.py:53
↓ 1 callersClassAttentionModule2
SimGNN Attention Module to make a pass on graph.
model/layers.py:53
↓ 1 callersClassGCL
model/GSC.py:267
↓ 1 callersClassGEDDataset_Custom
DataHelper/CustomDataset.py:14
↓ 1 callersClassLinuxData
DataHelper/simgnn_utils.py:86
↓ 1 callersClassLogger
auto log
utils/logger.py:26
↓ 1 callersClassNodeFeatureConstantEncoder
DataHelper/simgnn_utils.py:208
↓ 1 callersClassNodeFeatureOneHotEncoder
DataHelper/simgnn_utils.py:186
↓ 1 callersClassPairwiseGEDModelResult
DataHelper/simgnn_utils.py:612
↓ 1 callersClassSimGNN
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation https://arxiv.org/abs/1808.05689
model/SImGNN.py:10
ClassAttentionModule
model/layers.py:104
ClassClassifier
model/Base/GSC_custom.py:194
ClassDistanceCalculator
DataHelper/simgnn_utils.py:333
ClassDistanceModelResult
DataHelper/simgnn_utils.py:497
ClassGAT
model/Base/GAT.py:5
ClassGCN
model/Base/GCN.py:11
ClassGSC
model/Base/GSC_custom.py:10
ClassMLP
model/layers.py:8
ClassMLP
model/MLP.py:7
ClassMLPLayers
model/MLP.py:30
ClassNodeFeatureEncoder
DataHelper/simgnn_utils.py:178
ClassResult
The result object loads and stores the ranking result of a model for evaluation. Terminology: rtn: return value of a
DataHelper/simgnn_utils.py:355
ClassSelfShuffleList
DataHelper/simgnn_utils.py:16
ClassSiameseDataSet
DataHelper/simgnn_utils.py:113
Classdataset
DataHelper/dataset_helper.py:13