{"url":"/dataset/youtubegraph-dyn","name":"YoutubeGraph-Dyn","full_name":null,"description_markdown":"YoutubeGraph-Dyn is an evolving graph dataset generated from YouTube real-world interactions. It can be used to study temporal evolution on graphs. YoutubeGraph-Dyn provides intra-day time granularity (with 416 snapshots taken every 6 hours for a period of 104 days), multi-modal relationships that capture different aspects of the data, multiple attributes including timestamped, non-timestamped, word embeddings, and integers.","description_withheld":null,"homepage":"https://github.com/palash1992/YoutubeGraph-Dyn","introduced_date":"2019-07-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/tracking-temporal-evolution-of-graphs-using","title":"Tracking Temporal Evolution of Graphs using Non-Timestamped Data","first_author":null,"url":null},"license":null,"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[],"languages":[],"variants":["YoutubeGraph-Dyn"],"data_loaders":[{"repo":"https://github.com/palash1992/YoutubeGraph-Dyn","url":"https://github.com/palash1992/YoutubeGraph-Dyn","frameworks":[]}],"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."}