Views provided by UsageCountsImproving the Utility and Trustworthiness of Knowledge Graph Embeddings with Calibration
Safavi, Tara; Koutra, Danai; Meij, Edgar;
Improving the Utility and Trustworthiness of Knowledge Graph Embeddings with Calibration
This repository contains two public knowledge graph datasets used in our paper Improving the Utility of Knowledge Graph Embeddings with Calibration. Each dataset is described below. Note that for our experiments we split each dataset randomly 5 times into 80/10/10 train/validation/test splits. We recommend that users of our data do the same to avoid (potentially) overfitting models to a single dataset split. wikidata-authors This dataset was extracted by querying the Wikidata API for facts about people categorized as "authors" or "writers" on Wikidata. Note that all head entities of triples are people (authors or writers), and all triples describe something about that person (e.g., their place of birth, their place of death, or their spouse). The knowledge graph has 23,887 entities, 13 relations, and 86,376 triples. The files are as follows: entities.tsv: A tab-separated file of all unique entities in the dataset. The fields are as follows: eid: The unique Wikidata identifier of this entity. You can find the corresponding Wikidata page at https://www.wikidata.org/wiki/<eid>. label: A human-readable label of this entity (extracted from Wikidata). relations.tsv: A tab-separated file of all unique relations in the dataset. The fields are as follows: rid: The unique Wikidata identifier of this relation. You can find the corresponding Wikidata page at https://www.wikidata.org/wiki/Property:<rid>. label: A human-readable label of this relation (extracted from Wikidata). triples.tsv: A tab-separated file of all triples in the dataset, in the form of <head eid>, <relation rid>, <tail eid>. fb15krr-linked This dataset is an extended version of the FB15k+ dataset provided by [Xie et al IJCAI16]. It has been linked to Wikidata using Freebase MIDs (machine IDs) as keys; we discarded triples from the original dataset that contained entities that could not be linked to Wikidata. We also removed reverse relations following the procedure described by [Toutanova and Chen CVSC2015]. Finally, we removed existing triples labeled as False and added predicted triples labeled as True based on the crowdsourced annotations we obtained in our True or False Facts experiment (see our paper for details). The knowledge graph consists of 14,289 entities, 770 relations, and 272,385 triples. The files are as follows: entities.tsv: A tab-separated file of all unique entities in the dataset. The fields are as follows: mid: The Freebase machine ID (MID) of this entity. wiki: The corresponding unique Wikidata identifier of this entity. You can find the corresponding Wikidata page at https://www.wikidata.org/wiki/<eid>. label: A human-readable label of this entity (extracted from Wikidata). types: All hierarchical types of this entity, as provided by [Xie et al IJCAI16]. relations.tsv: A tab-separated file of all unique relations in the dataset. The fields are as follows: label: The hierarchical Freebase label of this relation. triples.tsv: A tab-separated file of all triples in the dataset, in the form of <head MID>, <relation label>, <tail MID>.
- University of Michigan–Flint United States
freebase, knowledge graph, wikidata
freebase, knowledge graph, wikidata
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 14 - 14views
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
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14