{"id":"https://openalex.org/W3034220763","doi":"https://doi.org/10.24963/ijcai.2020/492","title":"Pivot-based Maximal Biclique Enumeration","display_name":"Pivot-based Maximal Biclique Enumeration","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034220763","doi":"https://doi.org/10.24963/ijcai.2020/492","mag":"3034220763"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/492","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/492","pdf_url":"https://www.ijcai.org/proceedings/2020/0492.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0492.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078795157","display_name":"Aman Abidi","orcid":"https://orcid.org/0000-0002-3960-6259"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Aman Abidi","raw_affiliation_strings":["Swinburne University of Technology","Swinburne University of Technology, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology","institution_ids":["https://openalex.org/I57093077"]},{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032749574","display_name":"Rui Zhou","orcid":"https://orcid.org/0000-0001-6807-4362"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rui Zhou","raw_affiliation_strings":["Swinburne University of Technology","Swinburne University of Technology, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology","institution_ids":["https://openalex.org/I57093077"]},{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432046","display_name":"Lu Chen","orcid":"https://orcid.org/0000-0001-5135-9767"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lu Chen","raw_affiliation_strings":["Swinburne University of Technology","Swinburne University of Technology, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology","institution_ids":["https://openalex.org/I57093077"]},{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028546502","display_name":"Chengfei Liu","orcid":"https://orcid.org/0000-0003-1675-1389"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chengfei Liu","raw_affiliation_strings":["Swinburne University of Technology","Swinburne University of Technology, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology","institution_ids":["https://openalex.org/I57093077"]},{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57093077"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3558","last_page":"3564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9948999881744385,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9718999862670898,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/enumeration","display_name":"Enumeration","score":0.8821815252304077},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6941933631896973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.627204954624176},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.6138197183609009},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.580486536026001},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5125300884246826},{"id":"https://openalex.org/keywords/complete-bipartite-graph","display_name":"Complete bipartite graph","score":0.5039109587669373},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.4746031165122986},{"id":"https://openalex.org/keywords/clique-width","display_name":"Clique-width","score":0.43176597356796265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42043250799179077},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4181956350803375},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3990352153778076},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.32371366024017334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30144941806793213},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.07804977893829346}],"concepts":[{"id":"https://openalex.org/C156340839","wikidata":"https://www.wikidata.org/wiki/Q2704791","display_name":"Enumeration","level":2,"score":0.8821815252304077},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6941933631896973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.627204954624176},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.6138197183609009},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.580486536026001},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5125300884246826},{"id":"https://openalex.org/C134119311","wikidata":"https://www.wikidata.org/wiki/Q913598","display_name":"Complete bipartite graph","level":4,"score":0.5039109587669373},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.4746031165122986},{"id":"https://openalex.org/C5737132","wikidata":"https://www.wikidata.org/wiki/Q1101814","display_name":"Clique-width","level":5,"score":0.43176597356796265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42043250799179077},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4181956350803375},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3990352153778076},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.32371366024017334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30144941806793213},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.07804977893829346},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2020/492","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/492","pdf_url":"https://www.ijcai.org/proceedings/2020/0492.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:46c5dbae-01c0-48c2-b791-1c97430d6ead/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/456740","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-PRICIA Yokohama 2020), pp. 3558-3564","raw_type":null}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/492","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/492","pdf_url":"https://www.ijcai.org/proceedings/2020/0492.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034220763.pdf","grobid_xml":"https://content.openalex.org/works/W3034220763.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W169773246","https://openalex.org/W1537336823","https://openalex.org/W1604983895","https://openalex.org/W1868111879","https://openalex.org/W2019182846","https://openalex.org/W2036512590","https://openalex.org/W2074310030","https://openalex.org/W2079195756","https://openalex.org/W2100409033","https://openalex.org/W2115251668","https://openalex.org/W2116007667","https://openalex.org/W2155321856","https://openalex.org/W2164197909","https://openalex.org/W2246049295","https://openalex.org/W2803841333","https://openalex.org/W2886217298","https://openalex.org/W2944336125","https://openalex.org/W2961585158","https://openalex.org/W4235794864"],"related_works":["https://openalex.org/W2174899211","https://openalex.org/W2091826982","https://openalex.org/W4400909662","https://openalex.org/W2921162226","https://openalex.org/W2036057584","https://openalex.org/W3022526073","https://openalex.org/W4246000090","https://openalex.org/W2107875203","https://openalex.org/W4234658180","https://openalex.org/W3098480989"],"abstract_inverted_index":{"Enumerating":[0],"maximal":[1],"bicliques":[2],"in":[3,11,48,55,59,102],"a":[4,133,160],"bipartite":[5],"graph":[6],"is":[7,45,145],"an":[8,72,81,113,125],"important":[9],"problem":[10,110],"data":[12],"mining,":[13],"with":[14],"innumerable":[15],"real-world":[16,130],"applications":[17],"across":[18,154],"different":[19],"domains":[20],"such":[21],"as":[22],"web":[23],"community,":[24],"bioinformatics,":[25],"etc.":[26],"Although":[27],"substantial":[28],"research":[29],"has":[30,51],"been":[31,53],"conducted":[32],"on":[33,96],"this":[34,60],"problem,":[35],"surprisingly,":[36],"we":[37,62,107],"find":[38],"that":[39,142],"pivot-based":[40,65,77],"search":[41],"space":[42],"pruning,":[43,78],"which":[44,118],"quite":[46],"effective":[47,82],"clique":[49],"enumeration,":[50],"not":[52],"exploited":[54],"biclique":[56,68,103],"scenario.":[57],"Therefore,":[58],"paper,":[61],"explore":[63],"the":[64,76,97,109,120,151,164],"pruning":[66],"for":[67,74],"enumeration.":[69,104],"We":[70,123],"propose":[71],"algorithm":[73,144],"implementing":[75],"powered":[79],"by":[80],"index":[83],"structure":[84],"Containment":[85],"Directed":[86],"Acyclic":[87],"Graph":[88],"(CDAG).":[89],"Meanwhile,":[90],"existing":[91,152],"literature":[92],"indicates":[93],"contradictory":[94],"findings":[95],"order":[98],"of":[99,116,136],"vertex":[100],"selection":[101],"As":[105],"such,":[106],"re-examine":[108],"and":[111,148,157],"suggest":[112],"offline":[114],"ordering":[115],"vertices":[117],"expedites":[119],"pivot":[121],"pruning.":[122],"conduct":[124],"extensive":[126],"performance":[127],"study":[128],"using":[129],"datasets":[131,156],"from":[132],"wide":[134],"range":[135],"domains.":[137],"The":[138],"experimental":[139],"results":[140],"demonstrate":[141],"our":[143],"more":[146],"scalable":[147],"outperforms":[149],"all":[150,155],"algorithms":[153],"can":[158],"achieve":[159],"significant":[161],"speedup":[162],"against":[163],"previous":[165],"algorithms.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
