{"id":"https://openalex.org/W4415406893","doi":"https://doi.org/10.31577/cai_2025_3_635","title":"Adaptive Sampling-Based Heterogeneous Graph Enhancement","display_name":"Adaptive Sampling-Based Heterogeneous Graph Enhancement","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415406893","doi":"https://doi.org/10.31577/cai_2025_3_635"},"language":null,"primary_location":{"id":"doi:10.31577/cai_2025_3_635","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2025_3_635","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2025_3_635/1358","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2025_3_635/1358","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106023999","display_name":"Qin Zhao","orcid":"https://orcid.org/0000-0002-4290-9533"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Zhao","raw_affiliation_strings":["Shanghai Egineering Research Center of Intelligent Education and Big Data, Shanghai Normal University, Shanghai 200234, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Egineering Research Center of Intelligent Education and Big Data, Shanghai Normal University, Shanghai 200234, China","institution_ids":["https://openalex.org/I21945476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003267788","display_name":"Guojun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojun Yang","raw_affiliation_strings":["Shanghai Egineering Research Center of Intelligent Education and Big Data, Shanghai Normal University, Shanghai 200234, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Egineering Research Center of Intelligent Education and Big Data, Shanghai Normal University, Shanghai 200234, China","institution_ids":["https://openalex.org/I21945476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000611637","display_name":"Yaru Miao","orcid":"https://orcid.org/0009-0007-4952-7806"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaru Miao","raw_affiliation_strings":["Shanghai Egineering Research Center of Intelligent Education and Big Data, Shanghai Normal University, Shanghai 200234, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Egineering Research Center of Intelligent Education and Big Data, Shanghai Normal University, Shanghai 200234, China","institution_ids":["https://openalex.org/I21945476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101618320","display_name":"Jie Lian","orcid":"https://orcid.org/0000-0002-2005-2022"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Lian","raw_affiliation_strings":["Shanghai Egineering Research Center of Intelligent Education and Big Data, Shanghai Normal University, Shanghai 200234, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Egineering Research Center of Intelligent Education and Big Data, Shanghai Normal University, Shanghai 200234, China","institution_ids":["https://openalex.org/I21945476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073907484","display_name":"Hongda Qi","orcid":"https://orcid.org/0000-0001-9318-2824"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongda Qi","raw_affiliation_strings":["Shanghai Egineering Research Center of Intelligent Education and Big Data, Shanghai Normal University, Shanghai 200234, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Egineering Research Center of Intelligent Education and Big Data, Shanghai Normal University, Shanghai 200234, China","institution_ids":["https://openalex.org/I21945476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109620832","display_name":"Zuliang Kou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zuliang Kou","raw_affiliation_strings":["Shanghai Newtouch Software Co., Ltd., Shanghai 200127, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Newtouch Software Co., Ltd., Shanghai 200127, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5106023999"],"corresponding_institution_ids":["https://openalex.org/I21945476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38191516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":"3","first_page":"635","last_page":"660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6050999760627747},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5415999889373779},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5126000046730042},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5109999775886536},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.4690999984741211},{"id":"https://openalex.org/keywords/stochastic-block-model","display_name":"Stochastic block model","score":0.4366999864578247},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.4065000116825104},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3366999924182892}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6840999722480774},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6050999760627747},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5415999889373779},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5126000046730042},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5109999775886536},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.4690999984741211},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45100000500679016},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45080000162124634},{"id":"https://openalex.org/C2779982251","wikidata":"https://www.wikidata.org/wiki/Q25053762","display_name":"Stochastic block model","level":3,"score":0.4366999864578247},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3321000039577484},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.3278000056743622},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3107999861240387},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30239999294281006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29809999465942383},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.29010000824928284},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C137753397","wikidata":"https://www.wikidata.org/wiki/Q2434424","display_name":"Network science","level":3,"score":0.27480000257492065},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.26809999346733093}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31577/cai_2025_3_635","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2025_3_635","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2025_3_635/1358","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31577/cai_2025_3_635","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2025_3_635","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2025_3_635/1358","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6150509832","display_name":null,"funder_award_id":"2022YFB4501704","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415406893.pdf","grobid_xml":"https://content.openalex.org/works/W4415406893.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"the":[1,46,56,63,85,103,120,171,177,183],"current":[2],"research":[3],"on":[4,43,129,189],"heterogeneous":[5,156],"academic":[6,97,157],"network":[7],"community":[8,94],"detection,":[9],"there":[10],"is":[11,51],"a":[12],"widespread":[13],"challenge":[14],"of":[15,21,49,58,87,145,176],"high":[16],"demand":[17],"for":[18],"node":[19,22,89,124],"representation":[20],"attributes":[23],"in":[24,96,155,164],"learning":[25],"graphs.":[26],"Particularly,":[27],"existing":[28],"methods":[29,41],"often":[30],"perform":[31],"poorly":[32],"when":[33],"dealing":[34],"with":[35],"nodes":[36,144],"missing":[37,165],"attributes.":[38],"Furthermore,":[39],"most":[40,121],"rely":[42],"meta-paths,":[44],"but":[45,167],"optimal":[47],"length":[48],"meta-paths":[50,60],"difficult":[52],"to":[53,83,92,118,140,194],"determine":[54],"and":[55,111,152,173],"quality":[57],"predefined":[59],"directly":[61],"affects":[62],"results.":[64],"To":[65],"address":[66],"this":[67,69],"issue,":[68],"paper":[70],"proposes":[71],"an":[72,114,137],"Adaptive":[73],"Sampling-based":[74],"Heterogeneous":[75],"Graph":[76],"Enhancement":[77],"Model":[78],"(ASGNN).":[79],"The":[80,133],"model":[81,134,185],"aims":[82],"solve":[84],"problem":[86],"inaccurate":[88],"representations":[90],"leading":[91],"imprecise":[93],"partitions":[95],"networks.":[98,158],"ASGNN":[99],"first":[100],"effectively":[101],"captures":[102],"network's":[104],"topological":[105,153],"structure":[106,154],"through":[107],"random":[108],"walk":[109],"techniques,":[110],"then":[112],"utilizes":[113],"adaptive":[115],"sampling":[116],"algorithm":[117],"select":[119],"influential":[122],"adjacent":[123],"set,":[125],"rather":[126],"than":[127],"relying":[128],"traditional":[130],"meta-path":[131],"techniques.":[132],"further":[135],"employs":[136],"attention":[138],"mechanism":[139],"aggregate":[141],"information":[142,166],"from":[143],"different":[146],"types,":[147],"thereby":[148],"enhancing":[149],"attribute":[150],"completion":[151],"This":[159],"approach":[160],"not":[161],"only":[162],"fills":[163],"also":[168],"significantly":[169],"enhances":[170],"semantic":[172],"structural":[174],"integrity":[175],"network.":[178],"Experimental":[179],"results":[180],"demonstrate":[181],"that":[182],"proposed":[184],"exhibits":[186],"outstanding":[187],"performance":[188],"two":[190],"real":[191],"datasets":[192],"compared":[193],"baseline":[195],"models.":[196]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-22T00:00:00"}