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2019

WikiDataSets: Standardized sub-graphs from Wikidata

Boschin, Armand, Bonald, Thomas

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Developing new ideas and algorithms in the fields of graph processing and relational learning requires public datasets.

While Wikidata is the largest open source knowledge graph, involving more than fifty million entities, it is larger than needed in many cases and even too large to be processed easily.
Still, it is a goldmine of relevant facts and relations.
Using this knowledge graph is time consuming and prone to task specific tuning which can affect reproducibility of results.

WikiDataSets: Standardized sub-graphs from Wikidata · Around

Built on

PyTorch-BigGraph: A Large-scale Graph Embedding System
Original
Adam Lerer, Ledell Wu, Jiajun Shen, Timothee Lacroix, Luca Wehrstedt, Abhijit Bose, and Alex Peysakhovich · 1903
Earlier work this paper cites.
Fast unfolding of communities in large networks
Vincent D. Blondel, Jean-Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre · 2008
Earlier work this paper cites.
Translating Embeddings for Modeling Multi-relational Data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko · 2013
Earlier work this paper cites.
Knowledge Graph Embedding by Translating on Hyperplanes
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen · 2014
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Then

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