{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/mmkg-multi-modal-knowledge-graphs","title":"MMKG: Multi-Modal Knowledge Graphs","arxiv_id":"1903.05485","date":"2019-03-13","proceeding":null,"authors":["Ye Liu","Hui Li","Alberto Garcia-Duran","Mathias Niepert","Daniel Onoro-Rubio","David S. Rosenblum"],"abstract":"We present MMKG, a collection of three knowledge graphs that contain both\nnumerical features and (links to) images for all entities as well as entity\nalignments between pairs of KGs. Therefore, multi-relational link prediction\nand entity matching communities can benefit from this resource. We believe this\ndata set has the potential to facilitate the development of novel multi-modal\nlearning approaches for knowledge graphs.We validate the utility ofMMKG in the\nsameAs link prediction task with an extensive set of experiments. These\nexperiments show that the task at hand benefits from learning of multiple\nfeature types.","url_abs":"http://arxiv.org/abs/1903.05485v1","url_pdf":"http://arxiv.org/pdf/1903.05485v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"mmkg-multi-modal-knowledge-graphs","repo_url":"https://github.com/nle-ml/mmkb","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"BSD-3-Clause"}},{"paper_slug":"mmkg-multi-modal-knowledge-graphs","repo_url":"https://github.com/blzhu0823/pathfusion","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"mmkg-multi-modal-knowledge-graphs","repo_url":"https://github.com/liyichen-cly/MMEA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"mmkg-multi-modal-knowledge-graphs","repo_url":"https://github.com/liyichen-cly/MSNEA","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"mmkg-multi-modal-knowledge-graphs","repo_url":"https://github.com/mniepert/mmkb","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"BSD-3-Clause"}}],"tasks":[{"task_slug":"knowledge-graphs","task_name":"Knowledge Graphs"},{"task_slug":"link-prediction","task_name":"Link Prediction"},{"task_slug":"prediction","task_name":"Prediction"}],"methods":[],"datasets_introduced":[{"slug":"mmkg","name":"MMKG","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1903.05485","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}