{"url":"/dataset/mmkg","name":"MMKG","full_name":null,"description_markdown":"MMKG is a collection of three knowledge graphs for link prediction and entity matching research. Contrary to other knowledge graph datasets, these knowledge graphs contain both numerical features and images for all entities as well as entity alignments between pairs of KGs. While MMKG is intended to perform relational reasoning across different entities and images, previous resources are intended to perform visual reasoning within the same image.\r\n\r\nThe three knowledge graphs augmented with numerical features and images are called FB15k, YAGO15k, and DBPEDIA15k.","description_withheld":null,"homepage":"https://github.com/nle-ml/mmkb","introduced_date":"2019-03-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/mmkg-multi-modal-knowledge-graphs","title":"MMKG: Multi-Modal Knowledge Graphs","first_author":"Ye Liu","url":null},"license":{"name":"BSD 3-Clause License","url":"https://opensource.org/licenses/BSD-3-Clause"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Link Prediction","url":"/task/link-prediction","datasets_with_task":"/datasets/task/link-prediction"},{"name":"Knowledge Graphs","url":"/task/knowledge-graphs","datasets_with_task":"/datasets/task/knowledge-graphs"},{"name":"Entity Alignment","url":"/task/entity-alignment","datasets_with_task":"/datasets/task/entity-alignment"},{"name":"Multi-modal Entity Alignment","url":"/task/multi-modal-entity-alignment","datasets_with_task":"/datasets/task/multi-modal-entity-alignment"},{"name":"Multi-modal Knowledge Graph","url":"/task/multi-modal-knowledge-graph","datasets_with_task":"/datasets/task/multi-modal-knowledge-graph"}],"languages":[],"variants":["DBP15k zh-en","dbp15k fr-en","dbp15k ja-en","MMKG","FBDB15k","FBYG15k","UMVM"],"data_loaders":[{"repo":"https://github.com/nle-ml/mmkb","url":"https://github.com/nle-ml/mmkb","frameworks":[]}],"num_papers_in_archive":49,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/entity-alignment-on-fbdb15k","task":"Entity Alignment","dataset_variant":"FBDB15k","rows":6,"metrics":["Hits@1"],"first_row_in_archive_order":{"model":"MEAformer (seed 60%)","paper":"/paper/meaformer-multi-modal-entity-alignment","metrics":{"Hits@1":"0.784"},"code_links":[{"title":"zjukg/MEAformer","url":"https://github.com/zjukg/MEAformer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/entity-alignment-on-fbyg15k","task":"Entity Alignment","dataset_variant":"FBYG15k","rows":6,"metrics":["Hits@1"],"first_row_in_archive_order":{"model":"MEAformer (seed 60%)","paper":"/paper/meaformer-multi-modal-entity-alignment","metrics":{"Hits@1":"0.724"},"code_links":[{"title":"zjukg/MEAformer","url":"https://github.com/zjukg/MEAformer"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/multi-modal-entity-alignment-on-mmkg","task":"Multi-modal Entity Alignment","dataset_variant":"MMKG","rows":1,"metrics":["H@1"],"first_row_in_archive_order":{"model":"IBMEA","paper":"/paper/ibmea-exploring-variational-information","metrics":{"H@1":"0.631"},"code_links":[{"title":"sutaoyu/IBMEA","url":"https://github.com/sutaoyu/IBMEA"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/ibmea-exploring-variational-information","title":"IBMEA: Exploring Variational Information Bottleneck for Multi-modal Entity Alignment","date":"2024-07-27","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/meaformer-multi-modal-entity-alignment","title":"MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid","date":"2022-12-29","rows_on_this_dataset":12,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":13,"samples_ran":5,"samples_unverified":8,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":13,"samples_ran":5,"samples_unverified":8,"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."}