{"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/a-three-way-model-for-collective-learning-on","title":"A Three-Way Model for Collective Learning on Multi-Relational Data","arxiv_id":null,"date":"2011-01-01","proceeding":"ICML 2011 1","authors":["Nickel","Maximilian","Volker Tresp","and Hans-Peter Kriegel."],"abstract":"Relational learning is becoming increasingly important in many areas of application. Here, we\r\npresent a novel approach to relational learning\r\nbased on the factorization of a three-way tensor.\r\nWe show that unlike other tensor approaches, our\r\nmethod is able to perform collective learning via\r\nthe latent components of the model and provide\r\nan efficient algorithm to compute the factorization. We substantiate our theoretical considerations regarding the collective learning capabilities of our model by the means of experiments on\r\nboth a new dataset and a dataset commonly used\r\nin entity resolution. Furthermore, we show on\r\ncommon benchmark datasets that our approach\r\nachieves better or on-par results, if compared to\r\ncurrent state-of-the-art relational learning solutions, while it is significantly faster to compute.","url_abs":"https://icml.cc/2011/papers/438_icmlpaper.pdf","url_pdf":"https://icml.cc/2011/papers/438_icmlpaper.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":[],"tasks":[{"task_slug":"entity-resolution","task_name":"Entity Resolution"},{"task_slug":"relational-reasoning","task_name":"Relational Reasoning"}],"methods":[{"method_slug":"rescal-rp","method_name":"RESCAL"},{"method_slug":"rescal-rp","method_name":"RESCAL RP"}],"datasets_introduced":[],"methods_introduced":[{"slug":"rescal","name":"RESCAL","full_name":"RESCAL"},{"slug":"rescal-rp","name":"RESCAL RP","full_name":"RESCAL"}],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}