{"id":"https://openalex.org/W2137786357","doi":"https://doi.org/10.1145/2063576.2063831","title":"High efficiency and quality","display_name":"High efficiency and quality","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W2137786357","doi":"https://doi.org/10.1145/2063576.2063831","mag":"2137786357"},"language":"en","primary_location":{"id":"doi:10.1145/2063576.2063831","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101860834","display_name":"Yuanyuan Zhu","orcid":"https://orcid.org/0000-0002-3422-8017"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuanyuan Zhu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046220908","display_name":"Lu Qin","orcid":"https://orcid.org/0000-0001-6068-5062"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lu Qin","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075642293","display_name":"Jeffrey Xu Yu","orcid":"https://orcid.org/0000-0002-9738-827X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jeffrey Xu Yu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074491217","display_name":"Yiping Ke","orcid":"https://orcid.org/0000-0001-9473-3202"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiping Ke","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079659938","display_name":"Xuemin Lin","orcid":"https://orcid.org/0000-0003-2396-7225"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuemin Lin","raw_affiliation_strings":["University of New South Wales & NICTA, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales & NICTA, Sydney, Australia","institution_ids":["https://openalex.org/I31746571","https://openalex.org/I42894916"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1401,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.90911981,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1755","last_page":"1764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":1.0,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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/T11106","display_name":"Data Management and Algorithms","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/matching","display_name":"Matching (statistics)","score":0.8238492608070374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7050564885139465},{"id":"https://openalex.org/keywords/3-dimensional-matching","display_name":"3-dimensional matching","score":0.5960632562637329},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5615372061729431},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47518932819366455},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4504951238632202},{"id":"https://openalex.org/keywords/optimal-matching","display_name":"Optimal matching","score":0.44888463616371155},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4329172968864441},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.4218613803386688},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3938065767288208},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.31590765714645386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2505711019039154},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22313326597213745},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.057316601276397705}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.8238492608070374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050564885139465},{"id":"https://openalex.org/C72545166","wikidata":"https://www.wikidata.org/wiki/Q10866593","display_name":"3-dimensional matching","level":4,"score":0.5960632562637329},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5615372061729431},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47518932819366455},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4504951238632202},{"id":"https://openalex.org/C123853557","wikidata":"https://www.wikidata.org/wiki/Q7098946","display_name":"Optimal matching","level":3,"score":0.44888463616371155},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4329172968864441},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.4218613803386688},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3938065767288208},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.31590765714645386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2505711019039154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22313326597213745},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.057316601276397705},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2063576.2063831","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W7800797","https://openalex.org/W193057838","https://openalex.org/W1507560488","https://openalex.org/W1512831249","https://openalex.org/W1518994209","https://openalex.org/W1591658152","https://openalex.org/W1964587796","https://openalex.org/W1974032838","https://openalex.org/W1975414584","https://openalex.org/W1988336900","https://openalex.org/W2008620264","https://openalex.org/W2029230311","https://openalex.org/W2051658231","https://openalex.org/W2056066051","https://openalex.org/W2056477044","https://openalex.org/W2078814601","https://openalex.org/W2096347908","https://openalex.org/W2096725584","https://openalex.org/W2097308346","https://openalex.org/W2102273122","https://openalex.org/W2102523324","https://openalex.org/W2108182844","https://openalex.org/W2109294083","https://openalex.org/W2112090702","https://openalex.org/W2113367658","https://openalex.org/W2115139257","https://openalex.org/W2120278251","https://openalex.org/W2122961704","https://openalex.org/W2126359798","https://openalex.org/W2138621811","https://openalex.org/W2148178886","https://openalex.org/W2156543375","https://openalex.org/W2157149375","https://openalex.org/W2161444532","https://openalex.org/W2166524953","https://openalex.org/W2950627632"],"related_works":["https://openalex.org/W2371352078","https://openalex.org/W2567825307","https://openalex.org/W2362975861","https://openalex.org/W1592682627","https://openalex.org/W4295762832","https://openalex.org/W2785998768","https://openalex.org/W2054458431","https://openalex.org/W2367674792","https://openalex.org/W2184969544","https://openalex.org/W2561454982"],"abstract_inverted_index":{"Graph":[0],"matching":[1,35,83,128],"plays":[2],"an":[3,55,91],"essential":[4],"role":[5],"in":[6],"many":[7],"real":[8,137],"applications.":[9],"In":[10,85,100],"this":[11],"paper,":[12],"we":[13,89,104],"study":[14],"how":[15,123],"to":[16,94,109,124],"match":[17,73],"two":[18,74],"large":[19,75],"graphs":[20,76],"by":[21],"maximizing":[22],"the":[23,58,86,101,111,116,127],"number":[24],"of":[25,79,118],"matched":[26],"edges,":[27],"which":[28,70],"is":[29,37],"known":[30],"as":[31],"maximum":[32],"common":[33],"subgraph":[34],"and":[36,121,138,141],"NP-hard.":[38],"To":[39,53],"find":[40,54],"exact":[41],"matching,":[42,57],"it":[43],"cannot":[44],"handle":[45],"a":[46,66,96,106],"graph":[47],"with":[48,81,129],"more":[49],"than":[50],"30":[51],"nodes.":[52],"approximate":[56],"quality":[59],"can":[60,71],"be":[61],"very":[62],"poor.":[63],"We":[64,114,132],"propose":[65,90,105],"novel":[67],"two-step":[68],"approach":[69,93,108],"efficiently":[72],"over":[77],"thousands":[78],"nodes":[80],"high":[82],"quality.":[84],"first":[87],"step,":[88,103],"anchor-selection/expansion":[92],"compute":[95],"good":[97],"initial":[98,112],"matching.":[99,113],"second":[102],"new":[107],"refine":[110,126],"give":[115],"optimality":[117],"our":[119,144],"refinement":[120],"discuss":[122],"randomly":[125],"different":[130],"combinations.":[131],"conducted":[133],"extensive":[134],"testing":[135],"using":[136],"synthetic":[139],"datasets,":[140],"will":[142],"report":[143],"findings.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}