{"url":"/dataset/tgb","name":"TGB","full_name":"Temporal Graph Benchmark","description_markdown":"TGB is a collection of challenging and diverse benchmark datasets for realistic, reproducible, and robust machine learning evaluation on temporal graphs. It includes dynamic link and node property prediction tasks and an automated pipeline from dataset downloading, data loading, evaluation, and submission to the TGB leaderboard. TGB 2.0 includes novel datasets for temporal knowledge graphs and temporal heterogeneous graphs.","description_withheld":null,"homepage":"https://tgb.complexdatalab.com/","introduced_date":"2023-12-10","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["TGB"],"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."}