{"url":"/dataset/herg","name":"hERG","full_name":null,"description_markdown":"**hERG** is a large-scale biophysics federated molecular dataset related to cardiac toxicity. It consists of 10,572 compounds, with an average of 29.39 nodes and 94.09 edges in each graph.","description_withheld":null,"homepage":"https://github.com/FedML-AI/FedGraphNN/tree/main/data/herg","introduced_date":"2021-04-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/fedgraphnn-a-federated-learning-system-and","title":"FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks","first_author":"Chaoyang He","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Graph Regression","url":"/task/graph-regression","datasets_with_task":"/datasets/task/graph-regression"}],"languages":[],"variants":["hERG"],"data_loaders":[{"repo":"https://github.com/FedML-AI/FedGraphNN","url":"https://github.com/FedML-AI/FedGraphNN","frameworks":["pytorch"]}],"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."}