{"url":"/dataset/celltypegraph-benchmark","name":"CellTypeGraph Benchmark","full_name":null,"description_markdown":"Classifying all cells in an organ is a relevant and difficult problem from plant developmental biology. We here abstract the problem into a new benchmark for node classification in a geo-referenced graph. Solving it requires learning the spatial layout of the organ including symmetries. \r\nTo allow the convenient testing of new geometrical learning methods, the benchmark of Arabidopsis thaliana ovules is made available as a  PyTorch data loader, along with a large number of precomputed features.","description_withheld":null,"homepage":"https://zenodo.org/record/6374104#.YqMR8NLP0kV","introduced_date":"2022-05-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/celltypegraph-a-new-geometric-computer-vision","title":"CellTypeGraph: A New Geometric Computer Vision Benchmark","first_author":"Lorenzo Cerrone","url":null},"license":{"name":"March 28, 2022","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Node Classification","url":"/task/node-classification","datasets_with_task":"/datasets/task/node-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CellTypeGraph Benchmark"],"data_loaders":[{"repo":"https://github.com/hci-unihd/celltype-graph-benchmark","url":"https://github.com/hci-unihd/celltype-graph-benchmark","frameworks":["pytorch"]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/node-classification-on-celltypegraph","task":"Node Classification","dataset_variant":"CellTypeGraph Benchmark","rows":1,"metrics":["Top-1 accuracy","class-average Accuracy"],"first_row_in_archive_order":{"model":"plantcelltype-EdgeDeeperGCN","paper":"/paper/celltypegraph-a-new-geometric-computer-vision","metrics":{"Top-1 accuracy":"0.878","class-average Accuracy":"0.797"},"code_links":[{"title":"hci-unihd/celltype-graph-benchmark","url":"https://github.com/hci-unihd/celltype-graph-benchmark"},{"title":"hci-unihd/plant-celltype","url":"https://github.com/hci-unihd/plant-celltype"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/celltypegraph-a-new-geometric-computer-vision","title":"CellTypeGraph: A New Geometric Computer Vision Benchmark","date":"2022-05-17","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."}