Types & classes — github.com/allenai/commonsense-kg-completion

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Types & classes33 in github.com/allenai/commonsense-kg-completion

⨍ Functions 174◇ Types & classes 33

↓ 8 callersClassConceptNetTSVReader

src/reader.py:120

↓ 6 callersClassAtomicTSVReader

src/reader.py:239

↓ 6 callersClassFB15kReader

src/reader.py:306

↓ 5 callersClassEmbeddingLayer

src/model.py:161

↓ 4 callersClassGraph

↓ 2 callersClassBertLayer

src/bert_feature_extractor.py:152

↓ 2 callersClassInputExample

A single training/test example for simple sequence classification with BERT.

src/bert_feature_extractor.py:18

↓ 1 callersClassBERTDataset

lm_finetuning/simple_lm_finetuning.py:41

↓ 1 callersClassConvE

src/decoder.py:40

↓ 1 callersClassConvKB

Difference from ConvE: loss function is different, convolve over all e's at once

src/decoder.py:93

↓ 1 callersClassConvTransE

src/decoder.py:186

↓ 1 callersClassDistMult

src/decoder.py:14

↓ 1 callersClassEdge

src/graph.py:175

↓ 1 callersClassGATSubLayer

src/layers.py:381

↓ 1 callersClassGCN

src/model.py:241

↓ 1 callersClassInputExample

A single training/test example for the language model.

lm_finetuning/simple_lm_finetuning.py:233

↓ 1 callersClassInputFeatures

A single set of features of data.

src/bert_feature_extractor.py:37

↓ 1 callersClassInputFeatures

A single set of features of data.

lm_finetuning/simple_lm_finetuning.py:254

↓ 1 callersClassLinkPredictor

src/model.py:12

↓ 1 callersClassNode

src/graph.py:140

↓ 1 callersClassRelation

src/graph.py:168

ClassAtomicReader

src/reader.py:195

src/model.py:181

src/layers.py:337

ClassMultiHeadGATLayer

src/layers.py:423

ClassRGCNBasisLayer

src/layers.py:84

ClassRGCNBlockAttentionLayer

src/layers.py:171

ClassRGCNBlockLayer

src/layers.py:135

src/layers.py:13

src/reader.py:16

ClassWGCNAttentionLayer

src/layers.py:250

ClassWGCNAttentionSAGELayer

src/layers.py:292

src/layers.py:214