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Types & classes42 in github.com/Amanda-Zheng/SFGC

⨍ Functions 260◇ Types & classes 42
↓ 10 callersClassTransd2Ind
utils.py:106
↓ 8 callersClassDataGraphSAINT
datasets used in GraphSAINT paper
utils_graphsaint.py:12
↓ 8 callersClassGCN
models/gcn.py:52
↓ 4 callersClassChebConvolution
models/mycheby.py:18
↓ 4 callersClassGraphConvolution
models/gcn.py:14
↓ 4 callersClassMyLinear
models/myappnp.py:292
↓ 4 callersClassMyLinear
models/sgc_multi.py:277
↓ 4 callersClassSageConvolution
models/mygraphsage.py:17
↓ 3 callersClassDpr2Pyg
utils_graphsaint.py:260
↓ 3 callersClassGNTK
implement the Graph Neural Tangent Kernel
gntk_cond.py:6
↓ 3 callersClassReparamModule
models/reparam_module.py:9
↓ 3 callersClassSGC
models/sgc.py:55
↓ 2 callersClassGATConv
r"""The graph attentional operator from the `"Graph Attention Networks" .. math:: \mathbf{x}^{\prime}_i = \alpha_{i,i}\mathbf{\Theta}\math
models/mygatconv.py:16
↓ 2 callersClassGraphData
utils_graphsaint.py:229
↓ 2 callersClassHerding
coreset/all_methods.py:77
↓ 2 callersClassKCenter
coreset/all_methods.py:42
↓ 2 callersClassMyLinear
models/myappnp1.py:299
↓ 2 callersClassRandom
coreset/all_methods.py:110
↓ 1 callersClassDpr2Pyg
models/gat.py:74
↓ 1 callersClassGraphConvolution
models/sgc.py:16
↓ 1 callersClassMetaGtt
metagtt_inductive_adj_identity.py:19
↓ 1 callersClassMetaGtt
metagtt_transduct_adj_identity2.py:22
↓ 1 callersClassMetaGtt
metagtt_transduct_adj_identity.py:29
↓ 1 callersClassMyLinear
models/mycheby.py:364
↓ 1 callersClassPyg2Dpr
utils.py:53
↓ 1 callersClassSparseDropout
models/myappnp1.py:335
↓ 1 callersClassSparseDropout
models/myappnp.py:328
ClassAPPNP
models/myappnp.py:14
ClassAPPNP1
models/myappnp1.py:17
ClassBase
coreset/all_methods.py:4
ClassCheby
models/mycheby.py:83
ClassData2Pyg
utils_graphsaint.py:240
ClassDpr2Pyg
buffer_inductive.py:177
ClassDpr2Pyg
buffer_transduct.py:183
ClassGAT
models/gat.py:7
ClassGraphData
buffer_inductive.py:161
ClassGraphData
buffer_transduct.py:167
ClassGraphData
models/gat.py:59
ClassGraphSage
models/mygraphsage.py:71
ClassInMemoryDataset
r"""Dataset base class for creating graph datasets which fit completely into CPU memory. See `here <https://pytorch-geometric.readthedocs.io/e
models/in_memory_dataset.py:8
ClassPGE
models/parametrized_adj.py:11
ClassSGC
models/sgc_multi.py:16