{"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/node-embedding-via-word-embedding-for-network","title":"Node Embedding via Word Embedding for Network Community Discovery","arxiv_id":"1611.03028","date":"2016-11-09","proceeding":null,"authors":["Weicong Ding","Christy Lin","Prakash Ishwar"],"abstract":"Neural node embeddings have recently emerged as a powerful representation for\nsupervised learning tasks involving graph-structured data. We leverage this\nrecent advance to develop a novel algorithm for unsupervised community\ndiscovery in graphs. Through extensive experimental studies on simulated and\nreal-world data, we demonstrate that the proposed approach consistently\nimproves over the current state-of-the-art. Specifically, our approach\nempirically attains the information-theoretic limits for community recovery\nunder the benchmark Stochastic Block Models for graph generation and exhibits\nbetter stability and accuracy over both Spectral Clustering and Acyclic Belief\nPropagation in the community recovery limits.","url_abs":"http://arxiv.org/abs/1611.03028v3","url_pdf":"http://arxiv.org/pdf/1611.03028v3.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":"node-embedding-via-word-embedding-for-network","repo_url":"https://github.com/cy93lin/SBM_node_embedding","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"graph-generation","task_name":"Graph Generation"}],"methods":[{"method_slug":"spectral-clustering","method_name":"Spectral Clustering"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}