{"url":"/dataset/roman-empire","name":"roman-empire","full_name":null,"description_markdown":"Roman-empire is a word dependency graph based on the Roman Empire article from the English Wikipedia.","description_withheld":null,"homepage":"https://github.com/yandex-research/heterophilous-graphs","introduced_date":"2023-02-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-critical-look-at-the-evaluation-of-gnns","title":"A critical look at the evaluation of GNNs under heterophily: Are we really making progress?","first_author":"Oleg Platonov","url":null},"license":{"name":"MIT License","url":"https://github.com/yandex-research/heterophilous-graphs?tab=MIT-1-ov-file"},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Node Classification","url":"/task/node-classification","datasets_with_task":"/datasets/task/node-classification"}],"languages":[],"variants":["roman-empire"],"data_loaders":[],"num_papers_in_archive":49,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/node-classification-on-roman-empire","task":"Node Classification","dataset_variant":"roman-empire","rows":7,"metrics":["Accuracy (% )"],"first_row_in_archive_order":{"model":"Polynormer","paper":"/paper/polynormer-polynomial-expressive-graph","metrics":{"Accuracy (% )":"92.55±0.37"},"code_links":[{"title":"cornell-zhang/Polynormer","url":"https://github.com/cornell-zhang/Polynormer/tree/master/large_graph_exp"},{"title":"cornell-zhang/polynormer","url":"https://github.com/cornell-zhang/polynormer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/mixture-of-experts-meets-decoupled-message","title":"Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification","date":"2024-12-11","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/hyperaggregation-aggregating-over-graph-edges","title":"HyperAggregation: Aggregating over Graph Edges with Hypernetworks","date":"2024-07-16","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/classic-gnns-are-strong-baselines-reassessing","title":"Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification","date":"2024-06-13","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":9,"samples_ran":2,"samples_unverified":7,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/polynormer-polynomial-expressive-graph","title":"Polynormer: Polynomial-Expressive Graph Transformer in Linear Time","date":"2024-03-02","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":5,"samples_unverified":3,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/holonets-spectral-convolutions-do-extend-to","title":"HoloNets: Spectral Convolutions do extend to Directed Graphs","date":"2023-10-03","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":4,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":3,"samples_harvested":22,"samples_ran":11,"samples_unverified":11,"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."}