{"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/cliquematch-finding-correspondence-via","title":"cliquematch: Finding correspondence via cliques in large graphs","arxiv_id":"2112.00004","date":"2021-11-30","proceeding":null,"authors":["Gautham Venkatasubramanian"],"abstract":"The maximum clique problem finds applications in computer vision, bioinformatics, and network analysis, many of which involve the construction of correspondence graphs to find similarities between two given objects. cliquematch is a Python package designed for this purpose: it provides a simple framework to construct correspondence graphs, and implements an algorithm to find and enumerate maximum cliques in C++, that can process graphs of a few million edges on consumer hardware, with comparable performance to publicly available methods.","url_abs":"https://arxiv.org/abs/2112.00004v1","url_pdf":"https://arxiv.org/pdf/2112.00004v1.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":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"cliquematch-finding-correspondence-via","repo_url":"https://github.com/ahgamut/cliquematch","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}