{"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/improving-random-walk-rankings-with-feature","title":"Improving random walk rankings with feature selection and imputation","arxiv_id":"2111.15635","date":"2021-11-29","proceeding":null,"authors":["Ngoc Mai Tran","Yangxinyu Xie"],"abstract":"The Science4cast Competition consists of predicting new links in a semantic network, with each node representing a concept and each edge representing a link proposed by a paper relating two concepts. This network contains information from 1994-2017, with a discretization of days (which represents the publication date of the underlying papers). Team Hash Brown's final submission, \\emph{ee5a}, achieved a score of 0.92738 on the test set. Our team's score ranks \\emph{second place}, 0.01 below the winner's score. This paper details our model, its intuition, and the performance of its variations in the test set.","url_abs":"https://arxiv.org/abs/2111.15635v1","url_pdf":"https://arxiv.org/pdf/2111.15635v1.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":"improving-random-walk-rankings-with-feature","repo_url":"https://github.com/princengoc/s4s-final","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"imputation","task_name":"Imputation"},{"task_slug":"feature-selection","task_name":"feature selection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}