Large-scale heterogeneous knowledge graph from Wikidata. Contains 2.5 million entities connected through 535 relation types with over 17 million factual triples. Challenging benchmark for knowledge graph completion requiring prediction of potential relationships among massive complex facts. Part of the Open Graph Benchmark.
npx keepset fetch ogbl-wikikg2
Nodes
2,500,604
Edges
17,137,181
Size
150 MiB
This entry has no fetchable recipe yet: no download is in a form keepset reads yet (kge-triples-zip: the triples are more edges than one fetch holds: a whole fetch at Node's default heap aborts with an allocation failure, because the crosswalk step copies every edge (ExaDev/crossmap#57))
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec (2020). Open Graph Benchmark: Datasets for Machine Learning on Graphs. Advances in Neural Information Processing Systems (NeurIPS).
Recipe
Status
not fetchable: no download is in a form keepset reads yet (kge-triples-zip: the triples are more edges than one fetch holds: a whole fetch at Node's default heap aborts with an allocation failure, because the crosswalk step copies every edge (ExaDev/crossmap#57))
Crosswalk
keepset/topology to graph/v1, as a crossmap crosswalk.