{"url":"/dataset/dblp-temporal","name":"DBLP Temporal","full_name":null,"description_markdown":"**DBLP Temporal** is a dataset for temporal entity resolution, based on author profiles extracted from the Digital Bibliography and Library Project (DBLP).","description_withheld":null,"homepage":"https://github.com/E-Chen/A-refined-DBLP-temporal-dataset","introduced_date":"2018-06-20","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Developing a Temporal Bibliographic Data Set for Entity Resolution","first_author":null,"url":null},"license":{"name":"Unknown","url":null},"modalities":[],"tasks":[{"name":"Entity Resolution","url":"/task/entity-resolution","datasets_with_task":"/datasets/task/entity-resolution"},{"name":"Dynamic Link Prediction","url":"/task/dynamic-link-prediction","datasets_with_task":"/datasets/task/dynamic-link-prediction"}],"languages":[],"variants":["DBLP Temporal"],"data_loaders":[{"repo":"https://github.com/E-Chen/A-refined-DBLP-temporal-dataset","url":"https://github.com/E-Chen/A-refined-DBLP-temporal-dataset","frameworks":[]}],"num_papers_in_archive":7,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/dynamic-link-prediction-on-dblp-temporal","task":"Dynamic Link Prediction","dataset_variant":"DBLP Temporal","rows":7,"metrics":["AUC","AP","MRR"],"first_row_in_archive_order":{"model":"teneNCE","paper":"/paper/contrastive-representation-learning-for-3","metrics":{"AP":"90.45","AUC":"88.25","MRR":"0.3397"},"code_links":[{"title":"amrhssn/teneNCE","url":"https://github.com/amrhssn/teneNCE"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/contrastive-representation-learning-for-3","title":"Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks","date":"2024-08-22","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/euler-detecting-network-lateral-movement-via","title":"Euler: Detecting Network Lateral Movement via Scalable Temporal Link Prediction","date":"2022-04-24","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/variational-graph-recurrent-neural-networks","title":"Variational Graph Recurrent Neural Networks","date":"2019-08-26","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/evolvegcn-evolving-graph-convolutional","title":"EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs","date":"2019-02-26","rows_on_this_dataset":2,"code_links":10,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":3,"samples_unverified":8,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/dyngraph2vec-capturing-network-dynamics-using","title":"dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning","date":"2018-09-07","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":12,"samples_ran":4,"samples_unverified":8,"pointer_only_for_licence":2,"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."}