{"id":"https://openalex.org/W4327810336","doi":"https://doi.org/10.1145/3543873.3587654","title":"CS-TGN: Community Search via Temporal Graph Neural Networks","display_name":"CS-TGN: Community Search via Temporal Graph Neural Networks","publication_year":2023,"publication_date":"2023-04-28","ids":{"openalex":"https://openalex.org/W4327810336","doi":"https://doi.org/10.1145/3543873.3587654"},"language":"en","primary_location":{"id":"doi:10.1145/3543873.3587654","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543873.3587654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.08964","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002056689","display_name":"Farnoosh Hashemi","orcid":"https://orcid.org/0000-0002-4778-6608"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Farnoosh Hashemi","raw_affiliation_strings":["University of British Columbia, Canada"],"raw_orcid":"https://orcid.org/0000-0002-4778-6608","affiliations":[{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066381651","display_name":"Ali Behrouz","orcid":"https://orcid.org/0000-0002-4934-669X"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Behrouz","raw_affiliation_strings":["University of British Columbia, Canada"],"raw_orcid":"https://orcid.org/0000-0002-4934-669X","affiliations":[{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006345217","display_name":"Milad Rezaei Hajidehi","orcid":"https://orcid.org/0000-0003-2410-1052"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Milad Rezaei Hajidehi","raw_affiliation_strings":["University of British Columbia, Canada"],"raw_orcid":"https://orcid.org/0000-0003-2410-1052","affiliations":[{"raw_affiliation_string":"University of British Columbia, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":null,"apc_paid":null,"fwci":2.3014,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87232073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1196","last_page":"1203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9958999752998352,"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":0.8022953271865845},{"id":"https://openalex.org/keywords/snapshot","display_name":"Snapshot (computer storage)","score":0.5566563606262207},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4909346401691437},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47385767102241516},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.46224403381347656},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4412563145160675},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4370800256729126},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.41945797204971313},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.41145333647727966},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4030885696411133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3227139711380005},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3057226538658142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.294505774974823},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.2342624068260193}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8022953271865845},{"id":"https://openalex.org/C55282118","wikidata":"https://www.wikidata.org/wiki/Q252683","display_name":"Snapshot (computer storage)","level":2,"score":0.5566563606262207},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4909346401691437},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47385767102241516},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.46224403381347656},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4412563145160675},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4370800256729126},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.41945797204971313},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.41145333647727966},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4030885696411133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3227139711380005},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3057226538658142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.294505774974823},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.2342624068260193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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:10.1145/3543873.3587654","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543873.3587654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2303.08964","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.08964","pdf_url":"https://arxiv.org/pdf/2303.08964","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":{"id":"pmh:oai:arXiv.org:2303.08964","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.08964","pdf_url":"https://arxiv.org/pdf/2303.08964","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4327810336.pdf"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W1926280565","https://openalex.org/W1964419312","https://openalex.org/W1964822441","https://openalex.org/W1971421925","https://openalex.org/W2008607322","https://openalex.org/W2037487875","https://openalex.org/W2068015060","https://openalex.org/W2089572795","https://openalex.org/W2095705004","https://openalex.org/W2127048411","https://openalex.org/W2156020699","https://openalex.org/W2212315060","https://openalex.org/W2565330852","https://openalex.org/W2725075778","https://openalex.org/W2735638351","https://openalex.org/W2736334449","https://openalex.org/W2753758798","https://openalex.org/W2770082901","https://openalex.org/W2774854434","https://openalex.org/W2786401568","https://openalex.org/W2795336911","https://openalex.org/W2799241431","https://openalex.org/W2901504064","https://openalex.org/W2903764284","https://openalex.org/W2940854948","https://openalex.org/W2944833253","https://openalex.org/W2952179887","https://openalex.org/W2953206216","https://openalex.org/W2963358464","https://openalex.org/W2963784045","https://openalex.org/W2964269525","https://openalex.org/W2998313947","https://openalex.org/W3001437801","https://openalex.org/W3008266634","https://openalex.org/W3012562343","https://openalex.org/W3030754506","https://openalex.org/W3102641634","https://openalex.org/W3103720336","https://openalex.org/W3123693258","https://openalex.org/W3138547805","https://openalex.org/W3148088798","https://openalex.org/W3160800264","https://openalex.org/W3166795997","https://openalex.org/W3185251687","https://openalex.org/W3198329374","https://openalex.org/W4224313461","https://openalex.org/W4238216513","https://openalex.org/W4287236408","https://openalex.org/W4290877727","https://openalex.org/W4294646197","https://openalex.org/W4306317391","https://openalex.org/W4306895617","https://openalex.org/W4309216517","https://openalex.org/W4317767730","https://openalex.org/W4317767745"],"related_works":["https://openalex.org/W2542847180","https://openalex.org/W4256429076","https://openalex.org/W1971174658","https://openalex.org/W2099195351","https://openalex.org/W3034994054","https://openalex.org/W2805712290","https://openalex.org/W2155226960","https://openalex.org/W2909129499","https://openalex.org/W3004486383","https://openalex.org/W44773382"],"abstract_inverted_index":{"Searching":[0],"for":[1,11,202],"local":[2,49,159],"communities":[3,50,94,150,216,227],"is":[4],"an":[5,207],"important":[6],"research":[7],"challenge":[8],"that":[9,95,139],"allows":[10],"personalized":[12],"community":[13,72,143,204],"discovery":[14],"and":[15,32,105,124,162,173,188,217,236,245],"supports":[16],"advanced":[17],"data":[18],"analysis":[19],"in":[20,51,75,102,151,167,206,242],"various":[21],"complex":[22],"networks,":[23,31,104],"such":[24],"as":[25],"the":[26,110,120,148,158,163,171,184,214,229,233,237],"World":[27],"Wide":[28],"Web,":[29],"social":[30],"brain":[33],"networks.":[34,53],"The":[35],"evolution":[36],"of":[37,112,122,170,186,232,239],"these":[38,100],"networks":[39,77],"over":[40,192],"time":[41],"has":[42],"motivated":[43],"several":[44],"recent":[45],"studies":[46],"to":[47,61,88,99,116,182,212],"identify":[48],"temporal":[52,76,125,223,244],"Given":[54],"any":[55],"query":[56,68],"nodes,":[57],"Community":[58],"Search":[59],"aims":[60],"find":[62,93],"a":[63,132,152,176],"densely":[64],"connected":[65],"subgraph":[66,86],"containing":[67],"nodes.":[69],"However,":[70],"existing":[71],"search":[73,205],"approaches":[74],"have":[78],"two":[79],"main":[80],"limitations:":[81],"(1)":[82],"they":[83,107],"adopt":[84],"pre-defined":[85],"patterns":[87,101],"model":[89,198,241],"communities,":[90],"which":[91],"cannot":[92],"do":[96],"not":[97],"conform":[98],"real-world":[103,222],"(2)":[106],"only":[108],"use":[109],"aggregation":[111],"disjoint":[113],"structural":[114],"information":[115],"measure":[117],"quality,":[118],"missing":[119],"dynamic":[121],"connections":[123],"properties.":[126],"In":[127],"this":[128,197],"paper,":[129],"we":[130],"propose":[131],"query-driven":[133],"Temporal":[134],"Graph":[135],"Convolutional":[136],"Network":[137],"(CS-TGN)":[138],"can":[140,199],"capture":[141],"flexible":[142],"structures":[144],"by":[145],"learning":[146],"from":[147],"ground-truth":[149,226],"data-driven":[153],"manner.":[154],"CS-TGN":[155],"first":[156],"combines":[157],"query-dependent":[160],"structure":[161],"global":[164],"graph":[165],"embedding":[166],"each":[168],"snapshot":[169],"network":[172],"then":[174],"uses":[175],"GRU":[177],"cell":[178],"with":[179,225],"contextual":[180],"attention":[181],"learn":[183],"dynamics":[185],"interactions":[187],"update":[189],"node":[190],"embeddings":[191],"time.":[193],"We":[194],"demonstrate":[195],"how":[196],"be":[200],"used":[201],"interactive":[203,246],"online":[208],"setting,":[209],"allowing":[210],"users":[211],"evaluate":[213],"found":[215],"provide":[218],"feedback.":[219],"Experiments":[220],"on":[221],"graphs":[224],"validate":[228],"superior":[230],"quality":[231],"solutions":[234],"obtained":[235],"efficiency":[238],"our":[240],"both":[243],"static":[247],"settings.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
