{"url":"/dataset/aminer","name":"AMiner","full_name":null,"description_markdown":"The **AMiner** Dataset is a collection of different relational datasets. It consists of a set of relational networks such as citation networks, academic social networks or topic-paper-autor networks among others.","description_withheld":null,"homepage":"https://www.aminer.org/data","introduced_date":"2008-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"ArnetMiner: extraction and mining of academic social networks","first_author":null,"url":"https://doi.org/10.1145/1401890.1402008"},"license":{"name":"Multiple licenses","url":null},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Node Classification","url":"/task/node-classification","datasets_with_task":"/datasets/task/node-classification"},{"name":"Link Prediction","url":"/task/link-prediction","datasets_with_task":"/datasets/task/link-prediction"},{"name":"Research Performance Prediction","url":"/task/research-performance-prediction","datasets_with_task":"/datasets/task/research-performance-prediction"}],"languages":[],"variants":["AMiner"],"data_loaders":[{"repo":"https://github.com/rusty1s/pytorch_geometric","url":"https://pytorch-geometric.readthedocs.io/en/latest/modules/datasets.html","frameworks":["pytorch"]}],"num_papers_in_archive":80,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/research-performance-prediction-on-aminer","task":"Research Performance Prediction","dataset_variant":"AMiner","rows":1,"metrics":["normalized MSE"],"first_row_in_archive_order":{"model":"Multi-resolution Network Embedding","paper":"/paper/learning-multi-resolution-representations-of","metrics":{"normalized MSE":"0.15"},"code_links":[{"title":"higd963/Multi-resolution-Network-Embedding","url":"https://github.com/higd963/Multi-resolution-Network-Embedding"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/learning-multi-resolution-representations-of","title":"Learning multi-resolution representations of research patterns in bibliographic networks","date":"2021-02-01","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."}