{"id":"https://openalex.org/W2047944694","doi":"https://doi.org/10.1109/bigdata.2014.7004278","title":"MAGE: Matching approximate patterns in richly-attributed graphs","display_name":"MAGE: Matching approximate patterns in richly-attributed graphs","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2047944694","doi":"https://doi.org/10.1109/bigdata.2014.7004278","mag":"2047944694","pmid":"https://pubmed.ncbi.nlm.nih.gov/25859565"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2014.7004278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5021356363","display_name":"Robert Pienta","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Pienta","raw_affiliation_strings":["College of Computing, Georgia Institute of Technology, Atlanta, GA","College Of Computing, Georgia Institute of Technology, Atlanta, GA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"College Of Computing, Georgia Institute of Technology, Atlanta, GA#TAB#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023825669","display_name":"Acar Tamersoy","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Acar Tamersoy","raw_affiliation_strings":["Department of Computer Science, Arizona Sate University, Phoenix, AZ","College Of Computing, Georgia Institute of Technology, Atlanta, GA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Arizona Sate University, Phoenix, AZ","institution_ids":[]},{"raw_affiliation_string":"College Of Computing, Georgia Institute of Technology, Atlanta, GA#TAB#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068043486","display_name":"Hanghang Tong","orcid":"https://orcid.org/0000-0003-4405-3887"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanghang Tong","raw_affiliation_strings":["Department of Computer Science, Arizona Sate University, Phoenix, AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Arizona Sate University, Phoenix, AZ","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020153026","display_name":"Duen Horng Chau","orcid":"https://orcid.org/0000-0001-9824-3323"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duen Horng Chau","raw_affiliation_strings":["College of Computing, Georgia Institute of Technology, Atlanta, GA","College Of Computing, Georgia Institute of Technology, Atlanta, GA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"College Of Computing, Georgia Institute of Technology, Atlanta, GA#TAB#","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7193,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.923631,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2014","issue":null,"first_page":"585","last_page":"590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6617465615272522},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6455590724945068},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36113786697387695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19715946912765503},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07343149185180664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6617465615272522},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6455590724945068},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36113786697387695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19715946912765503},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07343149185180664}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/bigdata.2014.7004278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmid:25859565","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25859565","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.698.8608","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.698.8608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cc.gatech.edu/%7Edchau/papers/14-bigdata-MAGE.pdf","raw_type":"text"},{"id":"pmh:oai:europepmc.org:3354179","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4388251","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1509240356","https://openalex.org/W1677817168","https://openalex.org/W1973556323","https://openalex.org/W1997219719","https://openalex.org/W2010142885","https://openalex.org/W2010921004","https://openalex.org/W2013973777","https://openalex.org/W2036265926","https://openalex.org/W2048653843","https://openalex.org/W2057712948","https://openalex.org/W2066999271","https://openalex.org/W2097391913","https://openalex.org/W2100960788","https://openalex.org/W2101511590","https://openalex.org/W2112090702","https://openalex.org/W2126124689","https://openalex.org/W2126359798","https://openalex.org/W2130426318","https://openalex.org/W2133299088","https://openalex.org/W2142491343","https://openalex.org/W2143363350","https://openalex.org/W2146964183","https://openalex.org/W2147913014","https://openalex.org/W2148123869","https://openalex.org/W2167429959","https://openalex.org/W4231597948","https://openalex.org/W4244071313","https://openalex.org/W6653790936","https://openalex.org/W6664747023","https://openalex.org/W6675341733"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Given":[0],"a":[1,11,36,46,137],"large":[2,130],"graph":[3],"with":[4,40,68,105,115,141],"millions":[5],"of":[6,33,38],"nodes":[7,17],"and":[8,18,71,103,108,124,132],"edges,":[9],"say":[10],"social":[12,139],"network":[13,140],"where":[14],"both":[15,69],"its":[16],"edges":[19],"have":[20],"multiple":[21,89],"attributes":[22,73,90,104],"(e.g.,":[23,35],"job":[24],"titles,":[25],"tie":[26],"strengths),":[27],"how":[28],"to":[29],"quickly":[30],"find":[31],"subgraphs":[32],"interest":[34],"ring":[37],"businessmen":[39],"strong":[41],"ties)?":[42],"We":[43,120],"present":[44],"MAGE,":[45],"scalable,":[47,112],"multicore":[48],"subgraph":[49],"matching":[50],"approach":[51],"that":[52],"supports":[53,66,85],"expressive":[54,86],"queries":[55],"over":[56],"large,":[57],"richly-attributed":[58],"graphs.":[59],"Our":[60],"major":[61],"contributions":[62],"include:":[63],"(1)":[64],"MAGE":[65],"graphs":[67,114],"node":[70],"edge":[72],"(most":[74],"existing":[75],"approaches":[76],"handle":[77],"either":[78],"one,":[79],"but":[80],"not":[81],"both);":[82],"(2)":[83],"it":[84,110],"queries,":[87],"allowing":[88],"on":[91,129],"an":[92],"edge,":[93],"wildcards":[94],"as":[95,136],"attribute":[96],"values":[97],"(i.e.,":[98],"match":[99],"any":[100],"permissible":[101],"values),":[102],"continuous":[106],"values;":[107],"(3)":[109],"is":[111],"supporting":[113],"several":[116],"hundred":[117],"million":[118,143],"edges.":[119,144],"demonstrate":[121],"MAGE's":[122],"effectiveness":[123],"scalability":[125],"via":[126],"extensive":[127],"experiments":[128],"real":[131],"synthetic":[133],"graphs,":[134],"such":[135],"Google+":[138],"460":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
