{"url":"/dataset/ba-2motifs","name":"BA-2motifs","full_name":null,"description_markdown":"It's a synthetic dataset, which contains 1000 graphs divided into two classes according to the motif they contain: either a “house” or a five-node cycle.","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/parameterized-explainer-for-graph-neural","title":"Parameterized Explainer for Graph Neural Network","first_author":"Dongsheng Luo","url":null},"license":null,"modalities":[],"tasks":[{"name":"Graph Classification","url":"/task/graph-classification","datasets_with_task":"/datasets/task/graph-classification"},{"name":"Explanation Fidelity Evaluation","url":"/task/explanation-fidelity-evaluation","datasets_with_task":"/datasets/task/explanation-fidelity-evaluation"}],"languages":[],"variants":["BA-2motifs"],"data_loaders":[{"repo":"https://github.com/dmlc/dgl","url":"https://docs.dgl.ai/generated/dgl.data.BA2MotifDataset.html#dgl.data.BA2MotifDataset","frameworks":["tf","pytorch"]}],"num_papers_in_archive":48,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/explanation-fidelity-evaluation-on-ba-2motifs","task":"Explanation Fidelity Evaluation","dataset_variant":"BA-2motifs","rows":1,"metrics":["fidelity"],"first_row_in_archive_order":{"model":"GCN","paper":"/paper/same-uncovering-gnn-black-box-with-structure","metrics":{"fidelity":"0.549"},"code_links":[{"title":"same2023neurips/same","url":"https://github.com/same2023neurips/same"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/same-uncovering-gnn-black-box-with-structure","title":"SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations","date":"2023-09-21","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}