| + | |
| + | High-level APIs for training/inference with BESS. |
+
Utilities for building and storing knowledge graph datasets as collections of (h,r,t) triples. |
|
| + | |
Sharding of embedding tables and triple sets for distributed execution. |
|
| + | |
Classes for sampling batches of positive and negative triples for each processing device, according to the BESS distribution scheme. |
|
| + | |
Classes for sampling entities to use as corrupted heads/tails when constructing negative samples. |
|
| + | |
PyTorch modules implementing the BESS distribution scheme [CJM+22] for KGE training and inference on multiple IPUs. |
|
| + | |
Functions for scoring positive and negative triples, specific to each KGE model. |
|
| + | |
Functions for computing the batch loss based on the scores of positive and negative samples. |
|
| + | |
Utilities for computing metrics to evaluate the predictions of KGE models. |
|
| + | |
Utilities for initializing and managing entity/relation embedding tables. |
|
| + | |
General purpose utilities. |
| + | + |
B |
|
Python Module Index
| besskge.negative_sampler
| |
| + |
+ besskge.pipeline | + | ||
| diff --git a/searchindex.js b/searchindex.js index 3b7b9af..8fc6ee6 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["API_reference", "bess", "bibliography", "contrib", "dev_guide", "generated/besskge.batch_sampler", "generated/besskge.batch_sampler.RandomShardedBatchSampler", "generated/besskge.batch_sampler.RigidShardedBatchSampler", "generated/besskge.batch_sampler.ShardedBatchSampler", "generated/besskge.bess", "generated/besskge.bess.BessKGE", "generated/besskge.bess.EmbeddingMovingBessKGE", "generated/besskge.bess.ScoreMovingBessKGE", "generated/besskge.bess.TopKQueryBessKGE", "generated/besskge.dataset", "generated/besskge.dataset.KGDataset", "generated/besskge.embedding", "generated/besskge.embedding.init_KGE_normal", "generated/besskge.embedding.init_KGE_uniform", "generated/besskge.embedding.init_uniform_norm", "generated/besskge.embedding.initialize_entity_embedding", "generated/besskge.embedding.initialize_relation_embedding", "generated/besskge.embedding.refactor_embedding_sharding", "generated/besskge.loss", "generated/besskge.loss.BaseLossFunction", "generated/besskge.loss.LogSigmoidLoss", "generated/besskge.loss.MarginBasedLossFunction", "generated/besskge.loss.MarginRankingLoss", "generated/besskge.loss.SampledSoftmaxCrossEntropyLoss", "generated/besskge.metric", "generated/besskge.metric.BaseMetric", "generated/besskge.metric.Evaluation", "generated/besskge.metric.HitsAtK", "generated/besskge.metric.METRICS_DICT", "generated/besskge.metric.ReciprocalRank", "generated/besskge.negative_sampler", "generated/besskge.negative_sampler.PlaceholderNegativeSampler", "generated/besskge.negative_sampler.RandomShardedNegativeSampler", "generated/besskge.negative_sampler.ShardedNegativeSampler", "generated/besskge.negative_sampler.TripleBasedShardedNegativeSampler", "generated/besskge.negative_sampler.TypeBasedShardedNegativeSampler", "generated/besskge.scoring", "generated/besskge.scoring.BaseScoreFunction", "generated/besskge.scoring.BoxE", "generated/besskge.scoring.ComplEx", "generated/besskge.scoring.DistMult", "generated/besskge.scoring.DistanceBasedScoreFunction", "generated/besskge.scoring.InterHT", "generated/besskge.scoring.MatrixDecompositionScoreFunction", "generated/besskge.scoring.PairRE", "generated/besskge.scoring.RotatE", "generated/besskge.scoring.TranS", "generated/besskge.scoring.TransE", "generated/besskge.scoring.TripleRE", "generated/besskge.sharding", "generated/besskge.sharding.PartitionedTripleSet", "generated/besskge.sharding.Sharding", "generated/besskge.utils", "generated/besskge.utils.complex_multiplication", "generated/besskge.utils.complex_rotation", "generated/besskge.utils.gather_indices", "index", "user_guide"], "filenames": ["API_reference.rst", "bess.rst", "bibliography.rst", "contrib.md", "dev_guide.rst", "generated/besskge.batch_sampler.rst", "generated/besskge.batch_sampler.RandomShardedBatchSampler.rst", "generated/besskge.batch_sampler.RigidShardedBatchSampler.rst", "generated/besskge.batch_sampler.ShardedBatchSampler.rst", "generated/besskge.bess.rst", "generated/besskge.bess.BessKGE.rst", "generated/besskge.bess.EmbeddingMovingBessKGE.rst", "generated/besskge.bess.ScoreMovingBessKGE.rst", "generated/besskge.bess.TopKQueryBessKGE.rst", "generated/besskge.dataset.rst", "generated/besskge.dataset.KGDataset.rst", "generated/besskge.embedding.rst", "generated/besskge.embedding.init_KGE_normal.rst", "generated/besskge.embedding.init_KGE_uniform.rst", "generated/besskge.embedding.init_uniform_norm.rst", "generated/besskge.embedding.initialize_entity_embedding.rst", "generated/besskge.embedding.initialize_relation_embedding.rst", "generated/besskge.embedding.refactor_embedding_sharding.rst", "generated/besskge.loss.rst", "generated/besskge.loss.BaseLossFunction.rst", "generated/besskge.loss.LogSigmoidLoss.rst", "generated/besskge.loss.MarginBasedLossFunction.rst", "generated/besskge.loss.MarginRankingLoss.rst", "generated/besskge.loss.SampledSoftmaxCrossEntropyLoss.rst", "generated/besskge.metric.rst", "generated/besskge.metric.BaseMetric.rst", "generated/besskge.metric.Evaluation.rst", "generated/besskge.metric.HitsAtK.rst", "generated/besskge.metric.METRICS_DICT.rst", "generated/besskge.metric.ReciprocalRank.rst", "generated/besskge.negative_sampler.rst", "generated/besskge.negative_sampler.PlaceholderNegativeSampler.rst", "generated/besskge.negative_sampler.RandomShardedNegativeSampler.rst", "generated/besskge.negative_sampler.ShardedNegativeSampler.rst", "generated/besskge.negative_sampler.TripleBasedShardedNegativeSampler.rst", "generated/besskge.negative_sampler.TypeBasedShardedNegativeSampler.rst", "generated/besskge.scoring.rst", "generated/besskge.scoring.BaseScoreFunction.rst", "generated/besskge.scoring.BoxE.rst", "generated/besskge.scoring.ComplEx.rst", "generated/besskge.scoring.DistMult.rst", "generated/besskge.scoring.DistanceBasedScoreFunction.rst", "generated/besskge.scoring.InterHT.rst", "generated/besskge.scoring.MatrixDecompositionScoreFunction.rst", "generated/besskge.scoring.PairRE.rst", "generated/besskge.scoring.RotatE.rst", "generated/besskge.scoring.TranS.rst", "generated/besskge.scoring.TransE.rst", "generated/besskge.scoring.TripleRE.rst", "generated/besskge.sharding.rst", "generated/besskge.sharding.PartitionedTripleSet.rst", "generated/besskge.sharding.Sharding.rst", "generated/besskge.utils.rst", "generated/besskge.utils.complex_multiplication.rst", "generated/besskge.utils.complex_rotation.rst", "generated/besskge.utils.gather_indices.rst", "index.rst", "user_guide.rst"], "titles": ["BESS-KGE API Reference", "BESS overview", "Bibliography", "How to contribute to the BESS-KGE project", "How to contribute to the BESS-KGE project", "besskge.batch_sampler", "besskge.batch_sampler.RandomShardedBatchSampler", "besskge.batch_sampler.RigidShardedBatchSampler", "besskge.batch_sampler.ShardedBatchSampler", "besskge.bess", "besskge.bess.BessKGE", "besskge.bess.EmbeddingMovingBessKGE", "besskge.bess.ScoreMovingBessKGE", "besskge.bess.TopKQueryBessKGE", "besskge.dataset", "besskge.dataset.KGDataset", "besskge.embedding", "besskge.embedding.init_KGE_normal", "besskge.embedding.init_KGE_uniform", "besskge.embedding.init_uniform_norm", "besskge.embedding.initialize_entity_embedding", "besskge.embedding.initialize_relation_embedding", "besskge.embedding.refactor_embedding_sharding", "besskge.loss", "besskge.loss.BaseLossFunction", "besskge.loss.LogSigmoidLoss", "besskge.loss.MarginBasedLossFunction", "besskge.loss.MarginRankingLoss", "besskge.loss.SampledSoftmaxCrossEntropyLoss", "besskge.metric", "besskge.metric.BaseMetric", "besskge.metric.Evaluation", "besskge.metric.HitsAtK", "besskge.metric.METRICS_DICT", "besskge.metric.ReciprocalRank", "besskge.negative_sampler", "besskge.negative_sampler.PlaceholderNegativeSampler", "besskge.negative_sampler.RandomShardedNegativeSampler", "besskge.negative_sampler.ShardedNegativeSampler", "besskge.negative_sampler.TripleBasedShardedNegativeSampler", "besskge.negative_sampler.TypeBasedShardedNegativeSampler", "besskge.scoring", "besskge.scoring.BaseScoreFunction", "besskge.scoring.BoxE", "besskge.scoring.ComplEx", "besskge.scoring.DistMult", "besskge.scoring.DistanceBasedScoreFunction", "besskge.scoring.InterHT", "besskge.scoring.MatrixDecompositionScoreFunction", "besskge.scoring.PairRE", "besskge.scoring.RotatE", "besskge.scoring.TranS", "besskge.scoring.TransE", "besskge.scoring.TripleRE", "besskge.sharding", "besskge.sharding.PartitionedTripleSet", "besskge.sharding.Sharding", "besskge.utils", "besskge.utils.complex_multiplication", "besskge.utils.complex_rotation", "besskge.utils.gather_indices", "BESS-KGE", "User guide"], "terms": {"when": [1, 3, 4, 10, 11, 12, 13, 21, 24, 25, 26, 27, 28, 35, 36, 39], "distribut": [1, 5, 9, 10, 13, 17, 18, 19, 54, 61, 62], 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61], "dataset": [1, 2, 21, 55, 61, 62], "accord": [1, 5, 10, 11, 12, 17, 18, 19, 22, 31], "pair": [1, 2, 37, 55], "head": [1, 2, 10, 11, 12, 13, 15, 35, 37, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55], "tail": [1, 2, 10, 11, 12, 13, 15, 35, 37, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55], "At": [1, 7, 13], "execut": [1, 54], "time": [1, 6, 7, 8, 61], "both": [1, 3, 4, 24, 42, 61], "train": [1, 9, 10, 11, 12, 15, 61, 62], "infer": [1, 2, 6, 7, 8, 9, 10, 13, 61, 62], "batch": [1, 5, 6, 7, 8, 10, 11, 12, 13, 23, 24, 25, 26, 27, 28, 31, 37, 39, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 58, 59, 61, 62], "ar": [1, 3, 4, 11, 12, 13, 15, 21, 24, 31, 39, 43, 55, 60, 61, 62], "construct": [1, 24, 25, 26, 27, 28, 35, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 56], "sampl": [1, 2, 5, 6, 7, 8, 10, 11, 12, 13, 23, 24, 25, 26, 27, 28, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 61, 62], "uniformli": 1, "from": [1, 2, 3, 4, 6, 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