{"url":"/dataset/yago3-10","name":"YAGO3-10","full_name":"Yet Another Great Ontology 3-10","description_markdown":"YAGO3-10 is benchmark dataset for knowledge base completion. It is a subset of YAGO3 (which itself is an extension of YAGO) that contains entities associated with at least ten different relations. In total, YAGO3-10 has 123,182 entities and 37 relations and 1,179,040 triples, and most of the triples describe attributes of persons such as citizenship, gender, and profession.","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Link Prediction","url":"/task/link-prediction","datasets_with_task":"/datasets/task/link-prediction"}],"languages":[],"variants":["YAGO3-10"],"data_loaders":[{"repo":"https://github.com/pykeen/pykeen","url":"https://pykeen.readthedocs.io/en/stable/api/pykeen.datasets.YAGO310.html","frameworks":["pytorch"]},{"repo":"https://github.com/bi-graph/emgraph","url":"https://github.com/bi-graph/emgraph","frameworks":["tf"]}],"num_papers_in_archive":20,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/link-prediction-on-yago3-10","task":"Link Prediction","dataset_variant":"YAGO3-10","rows":18,"metrics":["Hits@1","Hits@3","Hits@10","MRR","MR"],"first_row_in_archive_order":{"model":"MEIM","paper":"/paper/meim-multi-partition-embedding-interaction","metrics":{"Hits@1":"0.514","Hits@10":"0.716","Hits@3":"0.625","MRR":"0.585"},"code_links":[{"title":"tranhungnghiep/AnalyzingKGEmbeddings","url":"https://github.com/tranhungnghiep/AnalyzingKGEmbeddings"},{"title":"tranhungnghiep/AnalyzeKGE","url":"https://github.com/tranhungnghiep/AnalyzeKGE"},{"title":"tranhungnghiep/meim-kge","url":"https://github.com/tranhungnghiep/meim-kge"},{"title":"tranhungnghiep/MEI-KGE","url":"https://github.com/tranhungnghiep/MEI-KGE"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/meim-multi-partition-embedding-interaction","title":"MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction","date":"2022-09-30","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":6,"samples_unverified":1,"pointer_only_for_licence":7,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/start-small-think-big-on-hyperparameter","title":"Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings","date":"2022-07-11","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/rot-pro-modeling-transitivity-by-projection","title":"Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding","date":"2021-10-27","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/safran-an-interpretable-rule-based-link","title":"SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models","date":"2021-09-16","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/neural-bellman-ford-networks-a-general-graph","title":"Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction","date":"2021-06-13","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":15,"samples_ran":2,"samples_unverified":13,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/duality-induced-regularizer-for-tensor","title":"Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion","date":"2020-11-11","rows_on_this_dataset":2,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/dense-an-enhanced-non-abelian-group","title":"DensE: An Enhanced Non-commutative Representation for Knowledge Graph Embedding with Adaptive Semantic Hierarchy","date":"2020-08-11","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/boxe-a-box-embedding-model-for-knowledge-base","title":"BoxE: A Box Embedding Model for Knowledge Base Completion","date":"2020-07-13","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/multi-partition-embedding-interaction-with","title":"Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion","date":"2020-06-29","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/low-dimensional-hyperbolic-knowledge-graph-1","title":"Low-Dimensional Hyperbolic Knowledge Graph Embeddings","date":"2020-05-01","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":4,"samples_unverified":7,"pointer_only_for_licence":8,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-hierarchy-aware-knowledge-graph","title":"Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction","date":"2019-11-21","rows_on_this_dataset":1,"code_links":9,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":8,"samples_ran":2,"samples_unverified":6,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/interacte-improving-convolution-based","title":"InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions","date":"2019-11-01","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/190600687","title":"Relation Embedding with Dihedral Group in Knowledge Graph","date":"2019-06-03","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/canonical-tensor-decomposition-for-knowledge","title":"Canonical Tensor Decomposition for Knowledge Base Completion","date":"2018-06-19","rows_on_this_dataset":2,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":2,"samples_unverified":0,"pointer_only_for_licence":2,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/convolutional-2d-knowledge-graph-embeddings","title":"Convolutional 2D Knowledge Graph Embeddings","date":"2017-07-05","rows_on_this_dataset":1,"code_links":8,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":7,"samples_harvested":47,"samples_ran":16,"samples_unverified":31,"pointer_only_for_licence":20,"papers_with_no_sample_that_ran":2,"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."}