{"id":"https://openalex.org/W3099051506","doi":"https://doi.org/10.3390/make3010005","title":"Rumor Detection Based on SAGNN: Simplified Aggregation Graph Neural Networks","display_name":"Rumor Detection Based on SAGNN: Simplified Aggregation Graph Neural Networks","publication_year":2021,"publication_date":"2021-01-04","ids":{"openalex":"https://openalex.org/W3099051506","doi":"https://doi.org/10.3390/make3010005","mag":"3099051506"},"language":"en","primary_location":{"id":"doi:10.3390/make3010005","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make3010005","pdf_url":"https://www.mdpi.com/2504-4990/3/1/5/pdf?version=1609751245","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-4990/3/1/5/pdf?version=1609751245","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064744030","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0002-9091-3262"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha 410073, China"],"raw_orcid":"https://orcid.org/0000-0002-9091-3262","affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078277494","display_name":"Jingqun Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jingqun Li","raw_affiliation_strings":["Shenzhen LiCi Electronic Company, Shenzhen 518000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen LiCi Electronic Company, Shenzhen 518000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101740900","display_name":"Bin Zhou","orcid":"https://orcid.org/0000-0002-7242-6647"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhou","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030424204","display_name":"Yan Jia","orcid":"https://orcid.org/0000-0001-8012-5097"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Jia","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078277494"],"corresponding_institution_ids":[],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":4.5727,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.94445103,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"3","issue":"1","first_page":"84","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11147","display_name":"Misinformation and Its Impacts","score":1.0,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rumor","display_name":"Rumor","score":0.9781466722488403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7929470539093018},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.658939778804779},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5750986933708191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5078018307685852},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4739682376384735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42226243019104004},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3071309030056}],"concepts":[{"id":"https://openalex.org/C2780469804","wikidata":"https://www.wikidata.org/wiki/Q878352","display_name":"Rumor","level":2,"score":0.9781466722488403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7929470539093018},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.658939778804779},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5750986933708191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5078018307685852},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4739682376384735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42226243019104004},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3071309030056},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/make3010005","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make3010005","pdf_url":"https://www.mdpi.com/2504-4990/3/1/5/pdf?version=1609751245","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cf5f1e658fd24a77b9fe778240b103e1","is_oa":true,"landing_page_url":"https://doaj.org/article/cf5f1e658fd24a77b9fe778240b103e1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction, Vol 3, Iss 1, Pp 84-94 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2504-4990/3/1/5/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/make3010005","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning and Knowledge Extraction; Volume 3; Issue 1; Pages: 84-94","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/make3010005","is_oa":true,"landing_page_url":"https://doi.org/10.3390/make3010005","pdf_url":"https://www.mdpi.com/2504-4990/3/1/5/pdf?version=1609751245","source":{"id":"https://openalex.org/S4210213891","display_name":"Machine Learning and Knowledge Extraction","issn_l":"2504-4990","issn":["2504-4990"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Knowledge Extraction","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7753179291","display_name":null,"funder_award_id":"No. 2018YFC0831703","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7875560103","display_name":null,"funder_award_id":"2018YFC0831703","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/W3099051506.pdf","grobid_xml":"https://content.openalex.org/works/W3099051506.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1975594555","https://openalex.org/W1982372546","https://openalex.org/W2084591134","https://openalex.org/W2242161203","https://openalex.org/W2519887557","https://openalex.org/W2577888896","https://openalex.org/W2741930413","https://openalex.org/W2742144412","https://openalex.org/W2787894218","https://openalex.org/W2788235048","https://openalex.org/W2798787718","https://openalex.org/W2912078280","https://openalex.org/W2918342466","https://openalex.org/W2963512530","https://openalex.org/W2975365702","https://openalex.org/W2977772799","https://openalex.org/W2997128522","https://openalex.org/W2999218478","https://openalex.org/W3004200020","https://openalex.org/W3034492151","https://openalex.org/W3039474590","https://openalex.org/W3041545969","https://openalex.org/W3101890897","https://openalex.org/W3104097132","https://openalex.org/W6671933157","https://openalex.org/W6948116018","https://openalex.org/W6948207360"],"related_works":["https://openalex.org/W2372853429","https://openalex.org/W2793319716","https://openalex.org/W3110636174","https://openalex.org/W4210503589","https://openalex.org/W2908713064","https://openalex.org/W2810386322","https://openalex.org/W2801267666","https://openalex.org/W2188429085","https://openalex.org/W2886888575","https://openalex.org/W3140274682"],"abstract_inverted_index":{"Identifying":[0],"fake":[1],"news":[2],"on":[3,20,115,127],"media":[4],"has":[5,125],"been":[6,32],"an":[7,88],"important":[8],"issue.":[9],"This":[10,77],"is":[11,81],"especially":[12],"true":[13,69],"considering":[14],"the":[15,43,122,144],"wide":[16],"spread":[17],"of":[18,29,45,57,136],"rumors":[19,70,73],"popular":[21],"social":[22],"networks":[23,48],"such":[24,85],"as":[25],"Twitter.":[26],"Various":[27],"kinds":[28],"techniques":[30],"have":[31],"proposed":[33,123],"for":[34,49,91],"automatic":[35],"rumor":[36,50,99],"detection.":[37],"In":[38],"this":[39,103],"work,":[40],"we":[41,105],"study":[42],"application":[44],"graph":[46,110,138],"neural":[47,60,111],"classification":[51],"at":[52],"a":[53,92,107,128],"lower":[54],"level,":[55],"instead":[56],"applying":[58],"existing":[59],"network":[61,95,112,124],"architectures":[62],"to":[63,68,83,96],"detect":[64],"rumors.":[65],"The":[66],"responses":[67],"and":[71],"false":[72],"display":[74],"distinct":[75],"characteristics.":[76],"suggests":[78],"that":[79,121,135],"it":[80],"essential":[82],"capture":[84],"interactions":[86],"in":[87],"effective":[89],"manner":[90],"deep":[93],"learning":[94],"achieve":[97],"better":[98,133],"detection":[100],"performance.":[101],"To":[102],"end":[104],"present":[106],"simplified":[108],"aggregation":[109],"architecture.":[113],"Experiments":[114],"publicly":[116],"available":[117],"Twitter":[118],"datasets":[119],"demonstrate":[120],"performance":[126],"par":[129],"with":[130],"or":[131],"even":[132],"than":[134],"state-of-the-art":[137],"convolutional":[139],"networks,":[140],"while":[141],"significantly":[142],"reducing":[143],"computational":[145],"complexity.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}