{"id":"https://openalex.org/W2742141418","doi":"https://doi.org/10.1145/3077136.3080662","title":"Centered kNN Graph for Semi-Supervised Learning","display_name":"Centered kNN Graph for Semi-Supervised Learning","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2742141418","doi":"https://doi.org/10.1145/3077136.3080662","mag":"2742141418"},"language":"en","primary_location":{"id":"doi:10.1145/3077136.3080662","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3077136.3080662","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3080662&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3080662&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031413346","display_name":"Ikumi Suzuki","orcid":null},"institutions":[{"id":"https://openalex.org/I112524849","display_name":"Yamagata University","ror":"https://ror.org/00xy44n04","country_code":"JP","type":"education","lineage":["https://openalex.org/I112524849"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ikumi Suzuki","raw_affiliation_strings":["Yamagata University, Yonezawa, Yamagata, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yamagata University, Yonezawa, Yamagata, Japan","institution_ids":["https://openalex.org/I112524849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048078824","display_name":"Kazuo Hara","orcid":"https://orcid.org/0000-0002-4699-6136"},"institutions":[{"id":"https://openalex.org/I113198587","display_name":"National Institute of Genetics","ror":"https://ror.org/02xg1m795","country_code":"JP","type":"facility","lineage":["https://openalex.org/I113198587","https://openalex.org/I1319490839","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuo Hara","raw_affiliation_strings":["National Institute of Genetics, Mishima, Shizuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Genetics, Mishima, Shizuoka, Japan","institution_ids":["https://openalex.org/I113198587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.7914,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.98697817,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"857","last_page":"860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6650828123092651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6303736567497253},{"id":"https://openalex.org/keywords/strength-of-a-graph","display_name":"Strength of a graph","score":0.47260648012161255},{"id":"https://openalex.org/keywords/null-graph","display_name":"Null graph","score":0.4392284154891968},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4380514323711395},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.3843155801296234},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36746442317962646},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.36025890707969666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3377400040626526}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6650828123092651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6303736567497253},{"id":"https://openalex.org/C19332903","wikidata":"https://www.wikidata.org/wiki/Q7623247","display_name":"Strength of a graph","level":5,"score":0.47260648012161255},{"id":"https://openalex.org/C17169500","wikidata":"https://www.wikidata.org/wiki/Q3033506","display_name":"Null graph","level":5,"score":0.4392284154891968},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4380514323711395},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.3843155801296234},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36746442317962646},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.36025890707969666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3377400040626526}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3077136.3080662","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3077136.3080662","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3080662&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3077136.3080662","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3077136.3080662","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3080662&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6337044646","display_name":"Elucidation of hub phenomenon occurring in large-scale data  and its application to bio-medical data","funder_award_id":"16H02821","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2742141418.pdf","grobid_xml":"https://content.openalex.org/works/W2742141418.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W1525367170","https://openalex.org/W2141923507","https://openalex.org/W2151090060","https://openalex.org/W2154455818","https://openalex.org/W2169153112"],"related_works":["https://openalex.org/W153309283","https://openalex.org/W4379539820","https://openalex.org/W2065459306","https://openalex.org/W2278094798","https://openalex.org/W2014355235","https://openalex.org/W2793949464","https://openalex.org/W2046275336","https://openalex.org/W3100627703","https://openalex.org/W2157759636","https://openalex.org/W2361389790"],"abstract_inverted_index":{"Graph":[0],"construction":[1,106],"is":[2,15,43,94],"an":[3],"important":[4],"process":[5,33],"in":[6,66],"graph-based":[7],"semi-supervised":[8],"learning.":[9],"Presently,":[10],"the":[11,16,32,38,55,67,71,79,108,121],"mutual":[12,39,68],"kNN":[13,40,69,110],"graph":[14,105],"most":[17],"preferred":[18],"as":[19],"it":[20],"reduces":[21,115],"hub":[22,116],"nodes":[23,60,76,117],"which":[24,42,93,112],"can":[25,88],"be":[26],"a":[27,90,103],"cause":[28],"of":[29,34,57,73],"failure":[30],"during":[31],"label":[35,98],"propagation.":[36,99],"However,":[37],"graph,":[41,70,92,111],"usually":[44],"very":[45],"sparse,":[46],"suffers":[47],"from":[48],"over":[49,86,122],"sparsification":[50,87,123],"problem.":[51,124],"That":[52],"is,":[53],"although":[54],"number":[56,72],"edges":[58,74],"connecting":[59,75],"that":[61,77],"have":[62,78],"different":[63],"labels":[64,81],"decreases":[65],"same":[80],"also":[82,119],"reduces.":[83],"In":[84],"addition,":[85],"produce":[89],"disconnected":[91],"not":[95,113],"desirable":[96],"for":[97],"So":[100],"we":[101],"present":[102],"new":[104],"method,":[107],"centered":[109],"only":[114],"but":[118],"avoids":[120]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}