{"url":"/dataset/fdcompcn","name":"FDCompCN","full_name":null,"description_markdown":"A new fraud detection dataset FDCompCN for detecting financial statement fraud of companies in China. We construct a multi-relation graph based on the supplier, customer, shareholder, and financial information disclosed in the financial statements of Chinese companies. These data are obtained from the China Stock Market and Accounting Research (CSMAR) database. We select samples between 2020 and 2023, including 5,317 publicly listed Chinese companies traded on the Shanghai, Shenzhen, and Beijing Stock Exchanges.","description_withheld":null,"homepage":"https://github.com/blackboxo/SplitGNN","introduced_date":"2023-10-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/splitgnn-spectral-graph-neural-network-for","title":"SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily","first_author":"Bin Wu","url":null},"license":null,"modalities":[],"tasks":[{"name":"Node Classification","url":"/task/node-classification","datasets_with_task":"/datasets/task/node-classification"},{"name":"Fraud Detection","url":"/task/fraud-detection","datasets_with_task":"/datasets/task/fraud-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["FDCompCN"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/fraud-detection-on-fdcompcn","task":"Fraud Detection","dataset_variant":"FDCompCN","rows":1,"metrics":["AUC-ROC"],"first_row_in_archive_order":{"model":"SplitGNN","paper":"/paper/splitgnn-spectral-graph-neural-network-for","metrics":{"AUC-ROC":"68.98"},"code_links":[{"title":"split-gnn/splitgnn","url":"https://github.com/split-gnn/splitgnn"},{"title":"blackboxo/SplitGNN","url":"https://github.com/blackboxo/SplitGNN"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/splitgnn-spectral-graph-neural-network-for","title":"SplitGNN: Spectral Graph Neural Network for Fraud Detection against Heterophily","date":"2023-10-21","rows_on_this_dataset":1,"code_links":2,"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."}