{"id":"https://openalex.org/W4410581920","doi":"https://doi.org/10.1109/tkde.2025.3569804","title":"Efficient Bitruss Decomposition on GPU","display_name":"Efficient Bitruss Decomposition on GPU","publication_year":2025,"publication_date":"2025-05-21","ids":{"openalex":"https://openalex.org/W4410581920","doi":"https://doi.org/10.1109/tkde.2025.3569804"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3569804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3569804","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","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/A5077191845","display_name":"Shunyang Li","orcid":null},"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"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Shunyang Li","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437004","display_name":"Kai Wang","orcid":"https://orcid.org/0000-0002-3123-2184"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wang","raw_affiliation_strings":["Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385498","display_name":"Wenjie Zhang","orcid":"https://orcid.org/0000-0001-6572-2600"},"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"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenjie Zhang","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079659938","display_name":"Xuemin Lin","orcid":"https://orcid.org/0000-0003-2396-7225"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemin Lin","raw_affiliation_strings":["Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055524806","display_name":"Yizhang He","orcid":"https://orcid.org/0000-0002-4426-7503"},"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"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yizhang He","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077191845"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":2.8414,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9086262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"37","issue":"8","first_page":"4578","last_page":"4590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9782000184059143,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9782000184059143,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9639000296592712,"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/computer-science","display_name":"Computer science","score":0.7641236186027527},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.543419599533081},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.49444103240966797},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3859483599662781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641236186027527},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.543419599533081},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.49444103240966797},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3859483599662781},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3569804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3569804","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1503428008","https://openalex.org/W1975686068","https://openalex.org/W2036512590","https://openalex.org/W2074310030","https://openalex.org/W2088866486","https://openalex.org/W2133591726","https://openalex.org/W2310059131","https://openalex.org/W2502944414","https://openalex.org/W2739409954","https://openalex.org/W2766397065","https://openalex.org/W2767249079","https://openalex.org/W2770225549","https://openalex.org/W2792367992","https://openalex.org/W2902741896","https://openalex.org/W2911278146","https://openalex.org/W2965557726","https://openalex.org/W2990615851","https://openalex.org/W3009094743","https://openalex.org/W3012979453","https://openalex.org/W3029150735","https://openalex.org/W3046476726","https://openalex.org/W3046760356","https://openalex.org/W3131109761","https://openalex.org/W3136926519","https://openalex.org/W3137062906","https://openalex.org/W3166231268","https://openalex.org/W3193857769","https://openalex.org/W3204866004","https://openalex.org/W3208929514","https://openalex.org/W4221146330","https://openalex.org/W4280595061","https://openalex.org/W4282981834","https://openalex.org/W4288070781","https://openalex.org/W4289534015","https://openalex.org/W4313024089","https://openalex.org/W4320002750","https://openalex.org/W4321187003","https://openalex.org/W4323022461","https://openalex.org/W4385285719","https://openalex.org/W4388661952","https://openalex.org/W4399422177","https://openalex.org/W4400909738","https://openalex.org/W4401353319"],"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":{"Cohesive":[0],"subgraph":[1,16,27],"computation":[2,140],"on":[3,87,134,188],"bipartite":[4,89],"graphs":[5],"has":[6],"drawn":[7],"significant":[8],"research":[9],"interest":[10],"recently.":[11],"As":[12,109],"a":[13,42,131,138],"popular":[14],"cohesive":[15],"model,":[17],"<inline-formula":[18,36,57,62],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[19,37,58,63,127,167],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[20,38,59,64],"notation=\"LaTeX\">$k$</tex-math></inline-formula>-bitruss":[21],"is":[22,31,49,130],"defined":[23],"as":[24],"the":[25,102,110,117,171,178,182],"maximal":[26],"where":[28],"each":[29],"edge":[30],"contained":[32],"in":[33,202],"at":[34],"least":[35],"notation=\"LaTeX\">$k$</tex-math></inline-formula>":[39],"butterflies":[40,175],"(i.e.,":[41],"(2,":[43],"2)-biclique).":[44],"The":[45,68],"bitruss":[46,96,145],"decomposition":[47,97,146],"problem":[48],"widely":[50],"studied,":[51],"which":[52,129],"aims":[53],"to":[54,75,84,142,164],"compute":[55],"all":[56],"notation=\"LaTeX\">$k$</tex-math></inline-formula>-bitrusses":[60],"for":[61,80],"notation=\"LaTeX\">$k":[65],"\\geq":[66],"0$</tex-math></inline-formula>.":[67],"state-of-the-art":[69],"CPU-based":[70,200],"solutions":[71,201],"require":[72],"extensive":[73,114],"costs":[74],"construct":[76],"an":[77],"index":[78],"structure":[79,180],"grouping":[81],"butterflies,":[82],"leading":[83],"scalability":[85],"challenges":[86],"large":[88],"graphs.":[90],"In":[91,151],"this":[92],"paper,":[93],"we":[94,124],"explore":[95],"with":[98],"GPU":[99,107],"by":[100,169],"leveraging":[101],"parallel":[103],"computing":[104],"capabilities":[105],"of":[106,120,173,204],"architectures.":[108],"index-based":[111],"approach":[112],"requires":[113],"space":[115,206],"and":[116,157,176,207],"memory":[118],"resources":[119],"GPUs":[121,135],"are":[122,162],"limited,":[123],"propose":[125],"<monospace":[126,166],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">GBiD</monospace>,":[128],"peeling-based":[132],"algorithm":[133],"that":[136,193],"utilizes":[137],"block-centric":[139],"scheme":[141],"enable":[143],"space-efficient":[144],"without":[147],"any":[148],"indexing":[149],"structure.":[150],"addition,":[152],"cost-aware":[153],"common":[154],"neighbor":[155,158],"exploration":[156],"list":[159],"accessing":[160,177],"optimizations":[161],"proposed":[163,195],"enhance":[165],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">GBiD</monospace>":[168],"reducing":[170],"cost":[172],"enumerating":[174],"graph":[179],"during":[181],"peeling":[183],"process.":[184],"Extensive":[185],"experiments":[186],"conducted":[187],"10":[189],"real-world":[190],"datasets":[191],"demonstrate":[192],"our":[194],"techniques":[196],"significantly":[197],"surpass":[198],"existing":[199],"terms":[203],"both":[205],"time":[208],"efficiency.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
