tkgl_smallpedia — Wikidata temporal knowledge graph, small subset (tkgl-smallpedia, TGB 2.0)

Description

A temporal knowledge graph extracted from Wikidata, from the tkgl-smallpedia dataset of the Temporal Graph Benchmark (TGB 2.0): the statements between the Wikidata entities with identifiers below one million (i.e. Q1 to Q999999) that are paired with Wikipedia pages. Each node is an entity of Wikidata, and a directed edge from entity A to entity B is a statement (A, relation, B), with a Wikidata property as relation (e.g. P166, "award received", or P54, "member of sports team"). Pairs of entities may be connected by several edges.

temporal: the statements with a time (a point in time, or the start of a period), as a year from 1900 to 2024.
static: the statements of the same entities without a time; the statements that are also temporal ones were removed by TGB.

The data do not include the labels of the entities and relations, which can be looked up in Wikidata.

The networks have the following properties:

wikidata_id: the Wikidata identifier of the entity, e.g. Q648.
Edge relation: the Wikidata property of the statement, e.g. P166.
Edge year (temporal only): the year of the statement.

Tags

Informational Relatedness Unweighted Multigraph Timestamps Metadata

Citation

J. Gastinger, S. Huang, M. Galkin, E. Loghmani, A. Parviz, F. Poursafaei, J. Danovitch, E. Rossi, I. Koutis, H. Stuckenschmidt, R. Rabbany, G. Rabusseau, "TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs." Advances in Neural Information Processing Systems 37 (Datasets and Benchmarks Track) (2024) 10.48550/arXiv.2406.09639 Sci-Hub
D. Vrandečić, M. Krötzsch, "Wikidata: a free collaborative knowledgebase." Communications of the ACM 57(10), 78-85 (2014) 10.1145/2629489 Sci-Hub

Upstream URL OK

https://tgb.complexdatalab.com/docs/tkg/
https://github.com/shenyangHuang/TGB

Upstream license

CC0 1.0 (Wikidata), https://www.wikidata.org/wiki/Wikidata:Licensing

Networks

Tip: click on a column header to sort the list, or hover over it for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
temporal	47,433	550,376	11.60	276.54	31.56	1578.61	-0.10	0.00	28	0.82	Directed	Unipartite	wikidata_id	relation year	631 KiB	2.0 MiB	1.9 MiB	1.7 MiB
static	304,735	978,022	3.21	158.50	160.39	45.17	-0.16	0.00	11	1.00	Directed	Unipartite	wikidata_id	relation	2.8 MiB	6.3 MiB	6.1 MiB	5.4 MiB