{"id":"https://openalex.org/W4413845012","doi":"https://doi.org/10.14778/3734839.3734854","title":"Truss Decomposition in Hypergraphs","display_name":"Truss Decomposition in Hypergraphs","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W4413845012","doi":"https://doi.org/10.14778/3734839.3734854"},"language":"en","primary_location":{"id":"doi:10.14778/3734839.3734854","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3734839.3734854","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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":null,"display_name":"Hongchao Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchao Qin","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058330993","display_name":"Guang Zeng","orcid":"https://orcid.org/0000-0001-8275-7848"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guang Zeng","raw_affiliation_strings":["Ant Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742464","display_name":"Rong-Hua Li","orcid":"https://orcid.org/0000-0001-8658-6599"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong-Hua Li","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101021504","display_name":"Longlong Lin","orcid":"https://orcid.org/0000-0002-2194-8146"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longlong Lin","raw_affiliation_strings":["Southwest University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014346487","display_name":"Ye Yuan","orcid":"https://orcid.org/0000-0002-0247-9866"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054991337","display_name":"Guoren Wang","orcid":"https://orcid.org/0000-0002-0181-8379"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoren Wang","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19152396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"7","first_page":"2185","last_page":"2197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9923999905586243,"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":0.9923999905586243,"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/T10374","display_name":"Advanced Graph Theory Research","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/truss","display_name":"Truss","score":0.8203325867652893},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.6684982776641846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46100541949272156},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3600701093673706},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.28325754404067993},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1660754382610321},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09403097629547119}],"concepts":[{"id":"https://openalex.org/C173534245","wikidata":"https://www.wikidata.org/wiki/Q1328068","display_name":"Truss","level":2,"score":0.8203325867652893},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6684982776641846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46100541949272156},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3600701093673706},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.28325754404067993},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1660754382610321},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09403097629547119},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3734839.3734854","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3734839.3734854","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W248604449","https://openalex.org/W1489509891","https://openalex.org/W1967066104","https://openalex.org/W2016311778","https://openalex.org/W2023536175","https://openalex.org/W2125895010","https://openalex.org/W2131486755","https://openalex.org/W2133238553","https://openalex.org/W2148606255","https://openalex.org/W2212315060","https://openalex.org/W2275335637","https://openalex.org/W2763834249","https://openalex.org/W2937419751","https://openalex.org/W2951294508","https://openalex.org/W2952024205","https://openalex.org/W2963054764","https://openalex.org/W2990167451","https://openalex.org/W2990306795","https://openalex.org/W3009581423","https://openalex.org/W3012774908","https://openalex.org/W3029150735","https://openalex.org/W3097625759","https://openalex.org/W3101888373","https://openalex.org/W3108953181","https://openalex.org/W3114534081","https://openalex.org/W3133642374","https://openalex.org/W3139183783","https://openalex.org/W3141657174","https://openalex.org/W3152595148","https://openalex.org/W3176979905","https://openalex.org/W3208039465","https://openalex.org/W3210793653","https://openalex.org/W4205884102","https://openalex.org/W4206255050","https://openalex.org/W4221146330","https://openalex.org/W4283320139","https://openalex.org/W4285285141","https://openalex.org/W4312445431","https://openalex.org/W4313123102","https://openalex.org/W4315783713","https://openalex.org/W4319830974","https://openalex.org/W4319990434","https://openalex.org/W4383749447","https://openalex.org/W4383749545","https://openalex.org/W4385667412","https://openalex.org/W4386412389","https://openalex.org/W4386621194","https://openalex.org/W4390490762","https://openalex.org/W4409350628"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2955404263","https://openalex.org/W2055188469","https://openalex.org/W2365888646","https://openalex.org/W4238655142","https://openalex.org/W2914493398","https://openalex.org/W2741416590","https://openalex.org/W2729632630","https://openalex.org/W2741963359","https://openalex.org/W2002630260"],"abstract_inverted_index":{"Truss":[0],"decomposition":[1,57,84],"is":[2,38,63,70,92],"a":[3,64,80,134],"fundamental":[4],"approach":[5],"in":[6,36,44,58,66,130],"graph":[7],"theory":[8],"that":[9,87,115,156],"focuses":[10],"on":[11,170],"uncovering":[12,41],"cohesive":[13],"subgraphs":[14],"within":[15,146],"networks.":[16,47],"However,":[17],"many":[18],"networks":[19],"involve":[20],"groupwise":[21],"rather":[22],"than":[23],"pairwise":[24],"relationships":[25,43],"and":[26,33,85,118,143,159,177],"are":[27],"often":[28],"represented":[29],"as":[30],"hypergraphs.":[31],"Modeling":[32],"capturing":[34],"k-truss":[35,62],"hypergraphs":[37],"essential":[39],"for":[40,82],"tight-knit":[42],"such":[45],"multi-relational":[46],"In":[48],"this":[49,147],"paper,":[50],"we":[51,100,110,132,166],"tackle":[52],"the":[53,88,175],"problem":[54],"of":[55,72,179],"truss":[56],"hypergraph.":[59],"A":[60],"hyper":[61],"subgraph":[65],"which":[67],"each":[68],"node":[69],"part":[71],"at":[73],"least":[74],"k":[75],"hyper-triangles.":[76,94],"We":[77,150],"first":[78],"introduce":[79],"framework":[81],"hyper-truss":[83],"determine":[86],"most":[89],"time-consuming":[90],"component":[91],"counting":[93],"To":[95,105],"count":[96,144],"all":[97,141],"hyper-triangles":[98],"efficiently,":[99],"propose":[101,152],"an":[102,112],"edge-iterator":[103,117],"algorithm.":[104],"further":[106],"reduce":[107],"redundant":[108],"computations,":[109],"present":[111],"improved":[113],"algorithm":[114],"combines":[116],"node-iterator":[119],"techniques":[120],"to":[121,126,139,161],"prune":[122],"non-promising":[123],"nodes.":[124],"Next,":[125],"handle":[127],"common":[128],"nodes":[129,158],"hypergraphs,":[131],"develop":[133],"novel":[135],"prefix":[136,148],"forest":[137],"technique":[138],"encode":[140],"hyperedges":[142,160],"triangles":[145],"forest.":[149],"also":[151],"several":[153],"optimization":[154],"strategies":[155],"reorder":[157],"improve":[162],"work":[163],"balancing.":[164],"Finally,":[165],"conduct":[167],"extensive":[168],"experiments":[169],"real-world":[171],"hypergraph":[172],"datasets,":[173],"demonstrating":[174],"efficiency":[176],"effectiveness":[178],"our":[180],"algorithms.":[181]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}