Datasets

pykeen.datasets Package

Built-in datasets for PyKEEN.

New datasets (inheriting from pykeen.datasets.Dataset) can be registered with PyKEEN using the pykeen.datasets group in Python entrypoints in your own setup.py or setup.cfg package configuration. They are loaded automatically with pkg_resources.iter_entry_points().

Functions

get_dataset(*[, dataset, dataset_kwargs, ...])

Get a dataset, cached based on the given kwargs.

has_dataset(key)

Return if the dataset is registered in PyKEEN.

Classes

Dataset()

The base dataset class.

AristoV4(**kwargs)

The Aristo-v4 dataset from [chen2021].

Hetionet([random_state])

The Hetionet dataset from [himmelstein2017].

Kinships(**kwargs)

The Kinships dataset.

Nations(**kwargs)

The Nations dataset.

OpenBioLink(**kwargs)

The OpenBioLink dataset.

OpenBioLinkLQ(**kwargs)

The low-quality variant of the OpenBioLink dataset.

CoDExSmall(**kwargs)

The CoDEx small dataset.

CoDExMedium(**kwargs)

The CoDEx medium dataset.

CoDExLarge(**kwargs)

The CoDEx large dataset.

CN3l([graph_pair])

The CN3l dataset family.

OGBBioKG([cache_root, create_inverse_triples])

The OGB BioKG dataset.

OGBWikiKG2([cache_root, create_inverse_triples])

The OGB WikiKG2 dataset.

UMLS(**kwargs)

The UMLS dataset.

FB15k(**kwargs)

The FB15k dataset.

FB15k237(**kwargs)

The FB15k-237 dataset.

WK3l15k([graph_pair])

The WK3l-15k dataset family.

WK3l120k([graph_pair])

The WK3l-120k dataset family.

WN18(**kwargs)

The WN18 dataset.

WN18RR(**kwargs)

The WN18-RR dataset.

YAGO310(**kwargs)

The YAGO3-10 dataset is a subset of YAGO3 that only contains entities with at least 10 relations.

DRKG([random_state])

The DRKG dataset.

BioKG([random_state])

The BioKG dataset from [walsh2020].

ConceptNet([random_state])

The ConceptNet dataset from [speer2017].

CKG([random_state])

The Clinical Knowledge Graph (CKG) dataset from [santos2020].

CSKG([random_state])

The CSKG dataset.

DBpedia50(**kwargs)

The DBpedia50 dataset.

DB100K(**kwargs)

The DB100K dataset from [ding2018].

OpenEA(*[, graph_pair, size, version])

The OpenEA dataset family.

Countries(**kwargs)

The Countries dataset.

WD50KT(**kwargs)

The triples-only version of WD50K.

Wikidata5M(**kwargs)

The Wikidata5M dataset from [wang2019].

PharmKG8k(**kwargs)

The PharmKG8k dataset from [zheng2020].

PharmKG([random_state])

The PharmKGFull dataset from [zheng2020].

PrimeKG([random_state])

The Precision Medicine Knowledge Graph (PrimeKG) dataset from [chandak2022].

Globi([random_state])

The Global Biotic Interactions (GloBI) dataset.

PharMeBINet([random_state])

The PharMeBINet dataset from [koenigs2022].

Class Inheritance Diagram

digraph inheritance875d756eb0 { bgcolor=transparent; rankdir=LR; size="8.0, 12.0"; "ABC" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Helper class that provides a standard way to create an ABC using"]; "AristoV4" [URL="../api/pykeen.datasets.AristoV4.html#pykeen.datasets.AristoV4",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The Aristo-v4 dataset from [chen2021]."]; "PackedZipRemoteDataset" -> "AristoV4" [arrowsize=0.5,style="setlinewidth(0.5)"]; "BioKG" [URL="../api/pykeen.datasets.BioKG.html#pykeen.datasets.BioKG",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The BioKG dataset from [walsh2020]_."]; "ZipSingleDataset" -> "BioKG" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CKG" [URL="../api/pykeen.datasets.CKG.html#pykeen.datasets.CKG",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The Clinical Knowledge Graph (CKG) dataset from [santos2020]_."]; "TabbedDataset" -> "CKG" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CN3l" [URL="../api/pykeen.datasets.CN3l.html#pykeen.datasets.CN3l",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The CN3l dataset family."]; "MTransEDataset" -> "CN3l" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CSKG" [URL="../api/pykeen.datasets.CSKG.html#pykeen.datasets.CSKG",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The CSKG dataset."]; "SingleTabbedDataset" -> "CSKG" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CoDExLarge" [URL="../api/pykeen.datasets.CoDExLarge.html#pykeen.datasets.CoDExLarge",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The CoDEx large dataset."]; "UnpackedRemoteDataset" -> "CoDExLarge" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CoDExMedium" [URL="../api/pykeen.datasets.CoDExMedium.html#pykeen.datasets.CoDExMedium",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The CoDEx medium dataset."]; "UnpackedRemoteDataset" -> "CoDExMedium" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CoDExSmall" [URL="../api/pykeen.datasets.CoDExSmall.html#pykeen.datasets.CoDExSmall",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The CoDEx small dataset."]; "UnpackedRemoteDataset" -> "CoDExSmall" [arrowsize=0.5,style="setlinewidth(0.5)"]; "CompressedSingleDataset" [URL="../api/pykeen.datasets.base.CompressedSingleDataset.html#pykeen.datasets.base.CompressedSingleDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Loads a dataset that's a single file inside an archive."]; "LazyDataset" -> "CompressedSingleDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ConceptNet" [URL="../api/pykeen.datasets.ConceptNet.html#pykeen.datasets.ConceptNet",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The ConceptNet dataset from [speer2017]_."]; "SingleTabbedDataset" -> "ConceptNet" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Countries" [URL="../api/pykeen.datasets.Countries.html#pykeen.datasets.Countries",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The Countries dataset."]; "UnpackedRemoteDataset" -> "Countries" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DB100K" [URL="../api/pykeen.datasets.DB100K.html#pykeen.datasets.DB100K",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The DB100K dataset from [ding2018]_."]; "UnpackedRemoteDataset" -> "DB100K" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DBpedia50" [URL="../api/pykeen.datasets.DBpedia50.html#pykeen.datasets.DBpedia50",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The DBpedia50 dataset."]; "UnpackedRemoteDataset" -> "DBpedia50" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DRKG" [URL="../api/pykeen.datasets.DRKG.html#pykeen.datasets.DRKG",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The DRKG dataset."]; "TarFileSingleDataset" -> "DRKG" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Dataset" [URL="../api/pykeen.datasets.base.Dataset.html#pykeen.datasets.base.Dataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The base dataset class."]; "ExtraReprMixin" -> "Dataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "EADataset" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Base class for entity alignment datasets."]; "EagerDataset" -> "EADataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "EagerDataset" [URL="../api/pykeen.datasets.base.EagerDataset.html#pykeen.datasets.base.EagerDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A dataset whose training, testing, and optional validation factories are pre-loaded."]; "Dataset" -> "EagerDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ExtraReprMixin" [URL="utils.html#pykeen.utils.ExtraReprMixin",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A mixin for modules with hierarchical `extra_repr`."]; "FB15k" [URL="../api/pykeen.datasets.FB15k.html#pykeen.datasets.FB15k",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The FB15k dataset."]; "TarFileRemoteDataset" -> "FB15k" [arrowsize=0.5,style="setlinewidth(0.5)"]; "FB15k237" [URL="../api/pykeen.datasets.FB15k237.html#pykeen.datasets.FB15k237",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The FB15k-237 dataset."]; "PackedZipRemoteDataset" -> "FB15k237" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Generic" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Abstract base class for generic types."]; "Globi" [URL="../api/pykeen.datasets.Globi.html#pykeen.datasets.Globi",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The Global Biotic Interactions (GloBI) dataset."]; "SingleTabbedDataset" -> "Globi" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Hetionet" [URL="../api/pykeen.datasets.Hetionet.html#pykeen.datasets.Hetionet",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The Hetionet dataset from [himmelstein2017]_."]; "SingleTabbedDataset" -> "Hetionet" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Kinships" [URL="../api/pykeen.datasets.Kinships.html#pykeen.datasets.Kinships",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The Kinships dataset."]; "PathDataset" -> "Kinships" [arrowsize=0.5,style="setlinewidth(0.5)"]; "LazyDataset" [URL="../api/pykeen.datasets.base.LazyDataset.html#pykeen.datasets.base.LazyDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A dataset whose training, testing, and optional validation factories are lazily loaded."]; "Dataset" -> "LazyDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "MTransEDataset" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Base class for WK3l datasets (WK3l-15k, WK3l-120k, CN3l)."]; "EADataset" -> "MTransEDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ABC" -> "MTransEDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Nations" [URL="../api/pykeen.datasets.Nations.html#pykeen.datasets.Nations",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The Nations dataset."]; "PathDataset" -> "Nations" [arrowsize=0.5,style="setlinewidth(0.5)"]; "OGBBioKG" [URL="../api/pykeen.datasets.OGBBioKG.html#pykeen.datasets.OGBBioKG",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The OGB BioKG dataset."]; "OGBLoader" -> "OGBBioKG" [arrowsize=0.5,style="setlinewidth(0.5)"]; "OGBLoader" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Load from the Open Graph Benchmark (OGB)."]; "LazyDataset" -> "OGBLoader" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Generic" -> "OGBLoader" [arrowsize=0.5,style="setlinewidth(0.5)"]; "OGBWikiKG2" [URL="../api/pykeen.datasets.OGBWikiKG2.html#pykeen.datasets.OGBWikiKG2",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The OGB WikiKG2 dataset."]; "OGBLoader" -> "OGBWikiKG2" [arrowsize=0.5,style="setlinewidth(0.5)"]; "OpenBioLink" [URL="../api/pykeen.datasets.OpenBioLink.html#pykeen.datasets.OpenBioLink",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The OpenBioLink dataset."]; "PackedZipRemoteDataset" -> "OpenBioLink" [arrowsize=0.5,style="setlinewidth(0.5)"]; "OpenBioLinkLQ" [URL="../api/pykeen.datasets.OpenBioLinkLQ.html#pykeen.datasets.OpenBioLinkLQ",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The low-quality variant of the OpenBioLink dataset."]; "PackedZipRemoteDataset" -> "OpenBioLinkLQ" [arrowsize=0.5,style="setlinewidth(0.5)"]; "OpenEA" [URL="../api/pykeen.datasets.OpenEA.html#pykeen.datasets.OpenEA",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The OpenEA dataset family."]; "EADataset" -> "OpenEA" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PackedZipRemoteDataset" [URL="../api/pykeen.datasets.base.PackedZipRemoteDataset.html#pykeen.datasets.base.PackedZipRemoteDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Contains a lazy reference to a remote dataset that is loaded if needed."]; "LazyDataset" -> "PackedZipRemoteDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PathDataset" [URL="../api/pykeen.datasets.base.PathDataset.html#pykeen.datasets.base.PathDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Contains a lazy reference to a training, testing, and validation dataset."]; "LazyDataset" -> "PathDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PharMeBINet" [URL="../api/pykeen.datasets.PharMeBINet.html#pykeen.datasets.PharMeBINet",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The PharMeBINet dataset from [koenigs2022]_."]; "TarFileSingleDataset" -> "PharMeBINet" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PharmKG" [URL="../api/pykeen.datasets.PharmKG.html#pykeen.datasets.PharmKG",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The PharmKGFull dataset from [zheng2020]_."]; "SingleTabbedDataset" -> "PharmKG" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PharmKG8k" [URL="../api/pykeen.datasets.PharmKG8k.html#pykeen.datasets.PharmKG8k",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The PharmKG8k dataset from [zheng2020]_."]; "UnpackedRemoteDataset" -> "PharmKG8k" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PrimeKG" [URL="../api/pykeen.datasets.PrimeKG.html#pykeen.datasets.PrimeKG",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The Precision Medicine Knowledge Graph (PrimeKG) dataset from [chandak2022]_."]; "SingleTabbedDataset" -> "PrimeKG" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RemoteDataset" [URL="../api/pykeen.datasets.base.RemoteDataset.html#pykeen.datasets.base.RemoteDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Contains a lazy reference to a remote dataset that is loaded if needed."]; "PathDataset" -> "RemoteDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SingleTabbedDataset" [URL="../api/pykeen.datasets.base.SingleTabbedDataset.html#pykeen.datasets.base.SingleTabbedDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="This class is for when you've got a single TSV of edges and want them to get auto-split."]; "TabbedDataset" -> "SingleTabbedDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "TabbedDataset" [URL="../api/pykeen.datasets.base.TabbedDataset.html#pykeen.datasets.base.TabbedDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="This class is for when you've got a single TSV of edges and want them to get auto-split."]; "LazyDataset" -> "TabbedDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "TarFileRemoteDataset" [URL="../api/pykeen.datasets.base.TarFileRemoteDataset.html#pykeen.datasets.base.TarFileRemoteDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A remote dataset stored as a tar file."]; "RemoteDataset" -> "TarFileRemoteDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "TarFileSingleDataset" [URL="../api/pykeen.datasets.base.TarFileSingleDataset.html#pykeen.datasets.base.TarFileSingleDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Loads a dataset that's a single file inside a tar.gz archive."]; "CompressedSingleDataset" -> "TarFileSingleDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "UMLS" [URL="../api/pykeen.datasets.UMLS.html#pykeen.datasets.UMLS",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The UMLS dataset."]; "PathDataset" -> "UMLS" [arrowsize=0.5,style="setlinewidth(0.5)"]; "UnpackedRemoteDataset" [URL="../api/pykeen.datasets.base.UnpackedRemoteDataset.html#pykeen.datasets.base.UnpackedRemoteDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A dataset with all three of train, test, and validation sets as URLs."]; "PathDataset" -> "UnpackedRemoteDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "WD50KT" [URL="../api/pykeen.datasets.WD50KT.html#pykeen.datasets.WD50KT",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The triples-only version of WD50K."]; "UnpackedRemoteDataset" -> "WD50KT" [arrowsize=0.5,style="setlinewidth(0.5)"]; "WK3l120k" [URL="../api/pykeen.datasets.WK3l120k.html#pykeen.datasets.WK3l120k",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The WK3l-120k dataset family."]; "MTransEDataset" -> "WK3l120k" [arrowsize=0.5,style="setlinewidth(0.5)"]; "WK3l15k" [URL="../api/pykeen.datasets.WK3l15k.html#pykeen.datasets.WK3l15k",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The WK3l-15k dataset family."]; "MTransEDataset" -> "WK3l15k" [arrowsize=0.5,style="setlinewidth(0.5)"]; "WN18" [URL="../api/pykeen.datasets.WN18.html#pykeen.datasets.WN18",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The WN18 dataset."]; "TarFileRemoteDataset" -> "WN18" [arrowsize=0.5,style="setlinewidth(0.5)"]; "WN18RR" [URL="../api/pykeen.datasets.WN18RR.html#pykeen.datasets.WN18RR",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The WN18-RR dataset."]; "TarFileRemoteDataset" -> "WN18RR" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Wikidata5M" [URL="../api/pykeen.datasets.Wikidata5M.html#pykeen.datasets.Wikidata5M",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The Wikidata5M dataset from [wang2019]_."]; "TarFileRemoteDataset" -> "Wikidata5M" [arrowsize=0.5,style="setlinewidth(0.5)"]; "YAGO310" [URL="../api/pykeen.datasets.YAGO310.html#pykeen.datasets.YAGO310",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The YAGO3-10 dataset is a subset of YAGO3 that only contains entities with at least 10 relations."]; "TarFileRemoteDataset" -> "YAGO310" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ZipSingleDataset" [URL="../api/pykeen.datasets.base.ZipSingleDataset.html#pykeen.datasets.base.ZipSingleDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Loads a dataset that's a single file inside a zip archive."]; "CompressedSingleDataset" -> "ZipSingleDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; }

pykeen.datasets.base Module

Utility classes for constructing datasets.

Functions

dataset_similarity(a, b[, metric])

Calculate the similarity between two datasets.

Classes

Dataset()

The base dataset class.

EagerDataset(training, testing[, ...])

A dataset whose training, testing, and optional validation factories are pre-loaded.

LazyDataset()

A dataset whose training, testing, and optional validation factories are lazily loaded.

PathDataset(training_path, testing_path, ...)

Contains a lazy reference to a training, testing, and validation dataset.

RemoteDataset(url, relative_training_path, ...)

Contains a lazy reference to a remote dataset that is loaded if needed.

UnpackedRemoteDataset(training_url, ...[, ...])

A dataset with all three of train, test, and validation sets as URLs.

TarFileRemoteDataset(url, ...[, cache_root, ...])

A remote dataset stored as a tar file.

PackedZipRemoteDataset(...[, url, name, ...])

Contains a lazy reference to a remote dataset that is loaded if needed.

CompressedSingleDataset(url, relative_path)

Loads a dataset that's a single file inside an archive.

TarFileSingleDataset(url, relative_path[, ...])

Loads a dataset that's a single file inside a tar.gz archive.

ZipSingleDataset(url, relative_path[, name, ...])

Loads a dataset that's a single file inside a zip archive.

TabbedDataset([cache_root, eager, ...])

This class is for when you've got a single TSV of edges and want them to get auto-split.

SingleTabbedDataset(url[, name, cache_root, ...])

This class is for when you've got a single TSV of edges and want them to get auto-split.

Class Inheritance Diagram

digraph inheritanceacf16f683a { bgcolor=transparent; rankdir=LR; size="8.0, 12.0"; "CompressedSingleDataset" [URL="../api/pykeen.datasets.base.CompressedSingleDataset.html#pykeen.datasets.base.CompressedSingleDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Loads a dataset that's a single file inside an archive."]; "LazyDataset" -> "CompressedSingleDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "Dataset" [URL="../api/pykeen.datasets.base.Dataset.html#pykeen.datasets.base.Dataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The base dataset class."]; "ExtraReprMixin" -> "Dataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "EagerDataset" [URL="../api/pykeen.datasets.base.EagerDataset.html#pykeen.datasets.base.EagerDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A dataset whose training, testing, and optional validation factories are pre-loaded."]; "Dataset" -> "EagerDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ExtraReprMixin" [URL="utils.html#pykeen.utils.ExtraReprMixin",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A mixin for modules with hierarchical `extra_repr`."]; "LazyDataset" [URL="../api/pykeen.datasets.base.LazyDataset.html#pykeen.datasets.base.LazyDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A dataset whose training, testing, and optional validation factories are lazily loaded."]; "Dataset" -> "LazyDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PackedZipRemoteDataset" [URL="../api/pykeen.datasets.base.PackedZipRemoteDataset.html#pykeen.datasets.base.PackedZipRemoteDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Contains a lazy reference to a remote dataset that is loaded if needed."]; "LazyDataset" -> "PackedZipRemoteDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "PathDataset" [URL="../api/pykeen.datasets.base.PathDataset.html#pykeen.datasets.base.PathDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Contains a lazy reference to a training, testing, and validation dataset."]; "LazyDataset" -> "PathDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "RemoteDataset" [URL="../api/pykeen.datasets.base.RemoteDataset.html#pykeen.datasets.base.RemoteDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Contains a lazy reference to a remote dataset that is loaded if needed."]; "PathDataset" -> "RemoteDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "SingleTabbedDataset" [URL="../api/pykeen.datasets.base.SingleTabbedDataset.html#pykeen.datasets.base.SingleTabbedDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="This class is for when you've got a single TSV of edges and want them to get auto-split."]; "TabbedDataset" -> "SingleTabbedDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "TabbedDataset" [URL="../api/pykeen.datasets.base.TabbedDataset.html#pykeen.datasets.base.TabbedDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="This class is for when you've got a single TSV of edges and want them to get auto-split."]; "LazyDataset" -> "TabbedDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "TarFileRemoteDataset" [URL="../api/pykeen.datasets.base.TarFileRemoteDataset.html#pykeen.datasets.base.TarFileRemoteDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A remote dataset stored as a tar file."]; "RemoteDataset" -> "TarFileRemoteDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "TarFileSingleDataset" [URL="../api/pykeen.datasets.base.TarFileSingleDataset.html#pykeen.datasets.base.TarFileSingleDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Loads a dataset that's a single file inside a tar.gz archive."]; "CompressedSingleDataset" -> "TarFileSingleDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "UnpackedRemoteDataset" [URL="../api/pykeen.datasets.base.UnpackedRemoteDataset.html#pykeen.datasets.base.UnpackedRemoteDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A dataset with all three of train, test, and validation sets as URLs."]; "PathDataset" -> "UnpackedRemoteDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ZipSingleDataset" [URL="../api/pykeen.datasets.base.ZipSingleDataset.html#pykeen.datasets.base.ZipSingleDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Loads a dataset that's a single file inside a zip archive."]; "CompressedSingleDataset" -> "ZipSingleDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; }

pykeen.datasets.analysis Module

Dataset analysis utilities.

Functions

get_relation_count_df(dataset[, ...])

Create a dataframe with relation counts.

get_entity_count_df(dataset[, merge_sides, ...])

Create a dataframe with entity counts.

get_entity_relation_co_occurrence_df(dataset)

Create a dataframe of entity/relation co-occurrence.

get_relation_functionality_df(*, dataset[, ...])

Calculate the functionality and inverse functionality score per relation.

get_relation_pattern_types_df(dataset, *[, ...])

Categorize relations based on patterns from RotatE [sun2019].

get_relation_cardinality_types_df(*, dataset)

Determine the relation cardinality types.

Inductive Datasets

pykeen.datasets.inductive Package

Inductive models in PyKEEN.

Classes

InductiveDataset()

Contains transductive train and inductive inference/validation/test datasets.

EagerInductiveDataset(transductive_training, ...)

An eager inductive datasets.

LazyInductiveDataset()

An inductive dataset that has lazy loading.

DisjointInductivePathDataset(...[, eager, ...])

A disjoint inductive dataset specified by paths.

UnpackedRemoteDisjointInductiveDataset(...)

A dataset with all four of train, inductive_inference, inductive test, and inductive validation sets as URLs.

InductiveFB15k237([version])

The inductive FB15k-237 dataset in 4 versions.

InductiveWN18RR([version])

The inductive WN18RR dataset in 4 versions.

InductiveNELL([version])

The inductive NELL dataset in 4 versions.

ILPC2022Large(**kwargs)

An inductive link prediction dataset for the ILPC 2022 Challenge.

ILPC2022Small(**kwargs)

An inductive link prediction dataset for the ILPC 2022 Challenge.

Class Inheritance Diagram

digraph inheritance4cf349c8f2 { bgcolor=transparent; rankdir=LR; size="8.0, 12.0"; "DisjointInductivePathDataset" [URL="../api/pykeen.datasets.inductive.DisjointInductivePathDataset.html#pykeen.datasets.inductive.DisjointInductivePathDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A disjoint inductive dataset specified by paths."]; "LazyInductiveDataset" -> "DisjointInductivePathDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "EagerInductiveDataset" [URL="../api/pykeen.datasets.inductive.EagerInductiveDataset.html#pykeen.datasets.inductive.EagerInductiveDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="An eager inductive datasets."]; "InductiveDataset" -> "EagerInductiveDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ILPC2022Large" [URL="../api/pykeen.datasets.inductive.ILPC2022Large.html#pykeen.datasets.inductive.ILPC2022Large",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="An inductive link prediction dataset for the ILPC 2022 Challenge."]; "UnpackedRemoteDisjointInductiveDataset" -> "ILPC2022Large" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ILPC2022Small" [URL="../api/pykeen.datasets.inductive.ILPC2022Small.html#pykeen.datasets.inductive.ILPC2022Small",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="An inductive link prediction dataset for the ILPC 2022 Challenge."]; "UnpackedRemoteDisjointInductiveDataset" -> "ILPC2022Small" [arrowsize=0.5,style="setlinewidth(0.5)"]; "InductiveDataset" [URL="../api/pykeen.datasets.inductive.InductiveDataset.html#pykeen.datasets.inductive.InductiveDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Contains transductive train and inductive inference/validation/test datasets."]; "InductiveFB15k237" [URL="../api/pykeen.datasets.inductive.InductiveFB15k237.html#pykeen.datasets.inductive.InductiveFB15k237",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The inductive FB15k-237 dataset in 4 versions."]; "UnpackedRemoteDisjointInductiveDataset" -> "InductiveFB15k237" [arrowsize=0.5,style="setlinewidth(0.5)"]; "InductiveNELL" [URL="../api/pykeen.datasets.inductive.InductiveNELL.html#pykeen.datasets.inductive.InductiveNELL",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The inductive NELL dataset in 4 versions."]; "UnpackedRemoteDisjointInductiveDataset" -> "InductiveNELL" [arrowsize=0.5,style="setlinewidth(0.5)"]; "InductiveWN18RR" [URL="../api/pykeen.datasets.inductive.InductiveWN18RR.html#pykeen.datasets.inductive.InductiveWN18RR",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The inductive WN18RR dataset in 4 versions."]; "UnpackedRemoteDisjointInductiveDataset" -> "InductiveWN18RR" [arrowsize=0.5,style="setlinewidth(0.5)"]; "LazyInductiveDataset" [URL="../api/pykeen.datasets.inductive.LazyInductiveDataset.html#pykeen.datasets.inductive.LazyInductiveDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="An inductive dataset that has lazy loading."]; "InductiveDataset" -> "LazyInductiveDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; "UnpackedRemoteDisjointInductiveDataset" [URL="../api/pykeen.datasets.inductive.UnpackedRemoteDisjointInductiveDataset.html#pykeen.datasets.inductive.UnpackedRemoteDisjointInductiveDataset",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A dataset with all four of train, inductive_inference, inductive test, and inductive validation sets as URLs."]; "DisjointInductivePathDataset" -> "UnpackedRemoteDisjointInductiveDataset" [arrowsize=0.5,style="setlinewidth(0.5)"]; }

Entity Alignment

pykeen.datasets.ea.combination Module

Combination strategies for entity alignment datasets.

Classes

GraphPairCombinator()

A base class for combination of a graph pair into a single graph.

DisjointGraphPairCombinator()

This combinator keeps both graphs as disconnected components.

SwapGraphPairCombinator()

Add extra triples by swapping aligned entities.

ExtraRelationGraphPairCombinator()

This combinator keeps all entities, but introduces a novel alignment relation.

CollapseGraphPairCombinator()

This combinator merges all matching entity pairs into a single ID.

ProcessedTuple(mapped_triples, alignment, ...)

The result of processing a pair of triples factories.

Class Inheritance Diagram

digraph inheritancefa6f1ecad5 { bgcolor=transparent; rankdir=LR; size="8.0, 12.0"; "ABC" [fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",tooltip="Helper class that provides a standard way to create an ABC using"]; "CollapseGraphPairCombinator" [URL="../api/pykeen.datasets.ea.combination.CollapseGraphPairCombinator.html#pykeen.datasets.ea.combination.CollapseGraphPairCombinator",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="This combinator merges all matching entity pairs into a single ID."]; "GraphPairCombinator" -> "CollapseGraphPairCombinator" [arrowsize=0.5,style="setlinewidth(0.5)"]; "DisjointGraphPairCombinator" [URL="../api/pykeen.datasets.ea.combination.DisjointGraphPairCombinator.html#pykeen.datasets.ea.combination.DisjointGraphPairCombinator",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="This combinator keeps both graphs as disconnected components."]; "GraphPairCombinator" -> "DisjointGraphPairCombinator" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ExtraRelationGraphPairCombinator" [URL="../api/pykeen.datasets.ea.combination.ExtraRelationGraphPairCombinator.html#pykeen.datasets.ea.combination.ExtraRelationGraphPairCombinator",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="This combinator keeps all entities, but introduces a novel alignment relation."]; "GraphPairCombinator" -> "ExtraRelationGraphPairCombinator" [arrowsize=0.5,style="setlinewidth(0.5)"]; "GraphPairCombinator" [URL="../api/pykeen.datasets.ea.combination.GraphPairCombinator.html#pykeen.datasets.ea.combination.GraphPairCombinator",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="A base class for combination of a graph pair into a single graph."]; "ABC" -> "GraphPairCombinator" [arrowsize=0.5,style="setlinewidth(0.5)"]; "ProcessedTuple" [URL="../api/pykeen.datasets.ea.combination.ProcessedTuple.html#pykeen.datasets.ea.combination.ProcessedTuple",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="The result of processing a pair of triples factories."]; "SwapGraphPairCombinator" [URL="../api/pykeen.datasets.ea.combination.SwapGraphPairCombinator.html#pykeen.datasets.ea.combination.SwapGraphPairCombinator",fillcolor=white,fontname="Vera Sans, DejaVu Sans, Liberation Sans, Arial, Helvetica, sans",fontsize=10,height=0.25,shape=box,style="setlinewidth(0.5),filled",target="_top",tooltip="Add extra triples by swapping aligned entities."]; "GraphPairCombinator" -> "SwapGraphPairCombinator" [arrowsize=0.5,style="setlinewidth(0.5)"]; }