{"url":"/dataset/unikg","name":"UniKG","full_name":null,"description_markdown":"We construct a large-scale Heterogeneous Graph benchmark dataset named UniKG from Wikidata.\r\nUniKG 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.\r\nUniKG have the capability to facilitate downstream task of diverse domains.","description_withheld":null,"homepage":"","introduced_date":"2023-09-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/unikg-a-benchmark-and-universal-embedding-for","title":"UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs","first_author":"Yide Qiu","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["UniKG"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}