{"id":"https://openalex.org/W4411403527","doi":"https://doi.org/10.1145/3725313","title":"Integral Densest Subgraph Search on Directed Graphs","display_name":"Integral Densest Subgraph Search on Directed Graphs","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4411403527","doi":"https://doi.org/10.1145/3725313"},"language":"en","primary_location":{"id":"doi:10.1145/3725313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725313","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"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 ACM on Management of Data","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/A5042988521","display_name":"Y. M. Zhang","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":"Yalong Zhang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-4339-4131","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020394364","display_name":"Rong-Hua Li","orcid":"https://orcid.org/0000-0003-4496-8518"},"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, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4496-8518","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, 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, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-2194-8146","affiliations":[{"raw_affiliation_string":"Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101931733","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0002-5533-3430"},"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":"Qi Zhang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5533-3430","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"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/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lu Qin","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6068-5062","affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"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, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0181-8379","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9389,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76511184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"3","issue":"3","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11478","display_name":"Caching and Content Delivery","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9975000023841858,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.769568681716919},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7625967264175415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6498314738273621},{"id":"https://openalex.org/keywords/induced-subgraph-isomorphism-problem","display_name":"Induced subgraph isomorphism problem","score":0.5803366899490356},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.4473256766796112},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.43889158964157104},{"id":"https://openalex.org/keywords/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.4348437488079071},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.40394914150238037},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3790995478630066},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3559010326862335},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.08122226595878601}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.769568681716919},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7625967264175415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6498314738273621},{"id":"https://openalex.org/C191241153","wikidata":"https://www.wikidata.org/wiki/Q6027240","display_name":"Induced subgraph isomorphism problem","level":5,"score":0.5803366899490356},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.4473256766796112},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.43889158964157104},{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.4348437488079071},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.40394914150238037},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3790995478630066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3559010326862335},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.08122226595878601},{"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3725313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725313","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"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 ACM on Management of Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1502940150","https://openalex.org/W1571644423","https://openalex.org/W1964043357","https://openalex.org/W1977489671","https://openalex.org/W1997384634","https://openalex.org/W2032279394","https://openalex.org/W2046804949","https://openalex.org/W2047923585","https://openalex.org/W2051109346","https://openalex.org/W2054560566","https://openalex.org/W2058803838","https://openalex.org/W2099674897","https://openalex.org/W2121526866","https://openalex.org/W2138621811","https://openalex.org/W2153250079","https://openalex.org/W2185253876","https://openalex.org/W2266714125","https://openalex.org/W2348679751","https://openalex.org/W2398413754","https://openalex.org/W2605272442","https://openalex.org/W2970828623","https://openalex.org/W3012585669","https://openalex.org/W3032557024","https://openalex.org/W3035455649","https://openalex.org/W3046691040","https://openalex.org/W4221146330","https://openalex.org/W4281779720","https://openalex.org/W4313172799","https://openalex.org/W4372046852","https://openalex.org/W4386634620","https://openalex.org/W4401863545","https://openalex.org/W4402042432","https://openalex.org/W4402043367","https://openalex.org/W6834961277"],"related_works":["https://openalex.org/W2532922352","https://openalex.org/W231720905","https://openalex.org/W2604893261","https://openalex.org/W1482551403","https://openalex.org/W2361654510","https://openalex.org/W2128390795","https://openalex.org/W2954463587","https://openalex.org/W2604114816","https://openalex.org/W2393701947","https://openalex.org/W2077912839"],"abstract_inverted_index":{"The":[0,34],"densest":[1,66],"subgraph":[2,13,67],"(DS)":[3],"search":[4],"over":[5],"a":[6,61,76,81,97,129,150,162],"directed":[7],"graph":[8],"focuses":[9],"on":[10,105,173],"finding":[11],"the":[12,15,86,89,145,178,181,186,192],"with":[14,85,114,157,166],"highest":[16],"density":[17,87],"among":[18],"all":[19],"subgraphs.":[20],"This":[21],"problem":[22],"has":[23,80],"raised":[24],"numerous":[25],"applications,":[26],"such":[27],"as":[28,75],"fraud":[29],"detection":[30],"and":[31,185,189],"community":[32],"detection.":[33],"state-of-the-art":[35],"DS":[36],"algorithms":[37],"have":[38],"prohibitively":[39],"high":[40,167,187],"costs":[41],"or":[42],"poor":[43],"approximation":[44,164],"ratios,":[45],"making":[46],"them":[47],"unsuitable":[48],"for":[49],"practical":[50],"applications.":[51],"To":[52,91],"address":[53],"these":[54],"dilemmas,":[55],"in":[56,132],"this":[57],"paper,":[58],"we":[59,94,107,136,148],"propose":[60,96,137,149],"novel":[62,98,151],"model":[63,78],"called":[64],"integral":[65],"(IDS).":[68],"We":[69],"show":[70],"that":[71,79],"IDS":[72,183],"can":[73],"serve":[74],"near-DS":[77],"tight":[82],"floor":[83],"relationship":[84],"of":[88,180,191],"DS.":[90],"compute":[92],"IDS,":[93],"first":[95],"flow":[99],"network":[100],"named":[101],"(\u03b1,\u03b2)-dense":[102],"network,":[103],"based":[104],"which":[106],"design":[108],"an":[109],"exact":[110],"network-flow":[111],"algorithm":[112,155],"GetIDS":[113],"O(p":[115],"\u2022":[116,119],"log":[117],"|V|":[118],"|E|":[120],"1.5":[121],")":[122],"time":[123,159],"complexity,":[124,160],"where":[125],"p":[126],"is":[127],"typically":[128],"small":[130],"constant":[131],"real-world":[133,175],"graphs.":[134],"Additionally,":[135],"several":[138],"non-trivial":[139],"pruning":[140],"techniques":[141],"to":[142],"further":[143],"improve":[144],"efficiency.":[146,168],"Subsequently,":[147],"(2":[152],"+":[153],"\u03b5)-approximation":[154],"MultiCore":[156],"near-linear":[158],"providing":[161],"good":[163],"guarantee":[165],"Finally,":[169],"our":[170],"extensive":[171],"experiments":[172],"10":[174],"graphs":[176],"demonstrate":[177],"effectiveness":[179],"proposed":[182,193],"model,":[184],"efficiency":[188],"scalability":[190],"solutions.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
