UniKG
Introduced by Qiu et al. in UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs
We construct a large-scale Heterogeneous Graph benchmark dataset named UniKG from Wikidata. UniKG contains 77.31 million multi-attribute entities labels by 2000 classes, 564 million directed edges annotated by 2082 diverse association types, which significantly surpasses the scale of existing homogeneous graph datasets. UniKG have the capability to facilitate downstream task of diverse domains.
Papers
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