{"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/revisiting-simple-neural-networks-for","title":"Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs","arxiv_id":"1711.05401","date":"2017-11-15","proceeding":null,"authors":["Srinivas Ravishankar","Chandrahas","Partha Pratim Talukdar"],"abstract":"We address the problem of learning vector representations for entities and\nrelations in Knowledge Graphs (KGs) for Knowledge Base Completion (KBC). This\nproblem has received significant attention in the past few years and multiple\nmethods have been proposed. Most of the existing methods in the literature use\na predefined characteristic scoring function for evaluating the correctness of\nKG triples. These scoring functions distinguish correct triples (high score)\nfrom incorrect ones (low score). However, their performance vary across\ndifferent datasets. In this work, we demonstrate that a simple neural network\nbased score function can consistently achieve near start-of-the-art performance\non multiple datasets. We also quantitatively demonstrate biases in standard\nbenchmark datasets, and highlight the need to perform evaluation spanning\nvarious datasets.","url_abs":"http://arxiv.org/abs/1711.05401v3","url_pdf":"http://arxiv.org/pdf/1711.05401v3.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":"revisiting-simple-neural-networks-for","repo_url":"https://github.com/Srinivas-R/AKBC-2017-Paper-14","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"knowledge-base-completion","task_name":"Knowledge Base Completion"},{"task_slug":"knowledge-graphs","task_name":"Knowledge Graphs"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}