{"id":"https://openalex.org/W4378373518","doi":"https://doi.org/10.1109/tnnls.2023.3275634","title":"TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature","display_name":"TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4378373518","doi":"https://doi.org/10.1109/tnnls.2023.3275634","pmid":"https://pubmed.ncbi.nlm.nih.gov/37235468"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3275634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3275634","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5089719727","display_name":"Cuiying Huo","orcid":"https://orcid.org/0000-0003-4914-4577"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuiying Huo","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-4914-4577","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009013876","display_name":"Dongxiao He","orcid":"https://orcid.org/0000-0002-1915-4179"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiao He","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-1915-4179","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102999673","display_name":"Chundong Liang","orcid":"https://orcid.org/0000-0002-8350-353X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chundong Liang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-8350-353X","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012455357","display_name":"Di Jin","orcid":"https://orcid.org/0000-0002-7445-9936"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Jin","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-7445-9936","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037428599","display_name":"Tie Qiu","orcid":"https://orcid.org/0000-0003-2324-2523"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tie Qiu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2324-2523","affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011825081","display_name":"Lingfei Wu","orcid":"https://orcid.org/0000-0002-3660-651X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lingfei Wu","raw_affiliation_strings":["Content and Knowledge Graph Group, Pinterest, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-3660-651X","affiliations":[{"raw_affiliation_string":"Content and Knowledge Graph Group, Pinterest, New York, NY, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0278,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.9690996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"35","issue":"10","first_page":"14205","last_page":"14217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.998199999332428,"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/T10927","display_name":"Access Control and Trust","score":0.9779999852180481,"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/T10028","display_name":"Topic Modeling","score":0.9229000210762024,"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":0.7474784255027771},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5981283187866211},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5161575078964233},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45050740242004395},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44353052973747253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3753446340560913},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3601248264312744},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.326651394367218},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08794260025024414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7474784255027771},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5981283187866211},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5161575078964233},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45050740242004395},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44353052973747253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3753446340560913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3601248264312744},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.326651394367218},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08794260025024414},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3275634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3275634","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37235468","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37235468","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1763852702","display_name":null,"funder_award_id":"62276187","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3113622006","display_name":null,"funder_award_id":"62272340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1426956448","https://openalex.org/W1585866533","https://openalex.org/W1974456473","https://openalex.org/W1975747248","https://openalex.org/W2016753842","https://openalex.org/W2033198212","https://openalex.org/W2054539343","https://openalex.org/W2074709832","https://openalex.org/W2096994246","https://openalex.org/W2114094444","https://openalex.org/W2150032099","https://openalex.org/W2191269736","https://openalex.org/W2396967885","https://openalex.org/W2493904836","https://openalex.org/W2517523272","https://openalex.org/W2604314403","https://openalex.org/W2728059831","https://openalex.org/W2749332509","https://openalex.org/W2762353177","https://openalex.org/W2907492528","https://openalex.org/W2911286998","https://openalex.org/W2920102957","https://openalex.org/W2932399282","https://openalex.org/W2953054275","https://openalex.org/W2962756421","https://openalex.org/W2964311892","https://openalex.org/W2979057167","https://openalex.org/W2997461192","https://openalex.org/W3004507689","https://openalex.org/W3012871709","https://openalex.org/W3031029974","https://openalex.org/W3043270131","https://openalex.org/W3047456059","https://openalex.org/W3080406377","https://openalex.org/W3091348074","https://openalex.org/W3126400384","https://openalex.org/W3127584905","https://openalex.org/W3133564241","https://openalex.org/W3155886566","https://openalex.org/W3156128181","https://openalex.org/W3163666463","https://openalex.org/W3177317072","https://openalex.org/W3194841521","https://openalex.org/W3212669276","https://openalex.org/W4205292681","https://openalex.org/W4206445139","https://openalex.org/W4207040171","https://openalex.org/W6604797525","https://openalex.org/W6631964550","https://openalex.org/W6678830454","https://openalex.org/W6678846912","https://openalex.org/W6718112784","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6749929118","https://openalex.org/W6754929296","https://openalex.org/W6763057493","https://openalex.org/W6766875403","https://openalex.org/W6768372859","https://openalex.org/W6771932116","https://openalex.org/W6796068253"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W2350679292","https://openalex.org/W2086348228"],"abstract_inverted_index":{"Trust":[0],"evaluation":[1,83],"is":[2],"critical":[3],"for":[4,36,55,102,112],"many":[5],"applications":[6],"such":[7],"as":[8,25],"cyber":[9],"security,":[10],"social":[11],"communication,":[12],"and":[13,17,49,68,92,118,137],"recommender":[14],"systems.":[15],"Users":[16],"trust":[18,56,72,82,96,104,139],"relationships":[19,140],"among":[20],"them":[21],"can":[22,132],"be":[23],"seen":[24],"a":[26,79,99],"graph.":[27],"Graph":[28],"neural":[29],"networks":[30],"(GNNs)":[31],"show":[32],"their":[33],"powerful":[34],"ability":[35],"analyzing":[37],"graph-structural":[38],"data.":[39],"Very":[40],"recently,":[41],"existing":[42],"work":[43],"attempted":[44],"to":[45,60,126,164],"introduce":[46],"the":[47,66,90,120,156,166,169],"attributes":[48],"asymmetry":[50],"of":[51,71,95,116,122,168],"edges":[52],"into":[53,98],"GNNs":[54],"evaluation,":[57],"while":[58],"failed":[59],"capture":[61],"some":[62,147],"essential":[63],"properties":[64],"(e.g.,":[65],"propagative":[67,91,110,114,124],"composable":[69,93],"nature)":[70],"graphs.":[73],"In":[74],"this":[75],"work,":[76],"we":[77],"propose":[78],"new":[80,128],"GNN-based":[81],"method":[84],"named":[85],"TrustGNN,":[86],"which":[87],"integrates":[88],"smartly":[89],"nature":[94],"graphs":[97],"GNN":[100],"framework":[101],"better":[103],"evaluation.":[105],"Specifically,":[106],"TrustGNN":[107,131,153],"designs":[108,171],"specific":[109],"patterns":[111],"different":[113,123],"processes":[115,125],"trust,":[117],"distinguishes":[119],"contribution":[121],"create":[127],"trust.":[129],"Thus,":[130],"learn":[133],"comprehensive":[134],"node":[135],"embeddings":[136],"predict":[138],"based":[141],"on":[142,146],"these":[143],"embeddings.":[144],"Experiments":[145],"widely-used":[148],"real-world":[149],"datasets":[150],"indicate":[151],"that":[152],"significantly":[154],"outperforms":[155],"state-of-the-art":[157],"methods.":[158],"We":[159],"further":[160],"perform":[161],"analytical":[162],"experiments":[163],"demonstrate":[165],"effectiveness":[167],"key":[170],"in":[172],"TrustGNN.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
