{"id":"https://openalex.org/W3184940953","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533981","title":"A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data","display_name":"A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3184940953","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533981","mag":"3184940953"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://durham-repository.worktribe.com/output/1140645","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083169271","display_name":"Zhongtian Sun","orcid":"https://orcid.org/0000-0003-0489-5203"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhongtian Sun","raw_affiliation_strings":["Durham University,Department of Computer Science,Durham,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Durham University,Department of Computer Science,Durham,UK","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022110111","display_name":"Anoushka Harit","orcid":"https://orcid.org/0000-0002-8185-4790"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anoushka Harit","raw_affiliation_strings":["Durham University,Department of Computer Science,Durham,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Durham University,Department of Computer Science,Durham,UK","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005611002","display_name":"Jialin Yu","orcid":"https://orcid.org/0000-0003-0287-5081"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jialin Yu","raw_affiliation_strings":["Durham University,Department of Computer Science,Durham,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Durham University,Department of Computer Science,Durham,UK","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034125179","display_name":"Alexandra I. Cristea","orcid":"https://orcid.org/0000-0002-1454-8822"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alexandra I. Cristea","raw_affiliation_strings":["Durham University,Department of Computer Science,Durham,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Durham University,Department of Computer Science,Durham,UK","institution_ids":["https://openalex.org/I190082696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017619842","display_name":"Noura Al Moubayed","orcid":"https://orcid.org/0000-0001-8942-355X"},"institutions":[{"id":"https://openalex.org/I190082696","display_name":"Durham University","ror":"https://ror.org/01v29qb04","country_code":"GB","type":"education","lineage":["https://openalex.org/I190082696"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Noura Al Moubayed","raw_affiliation_strings":["Durham University,Department of Computer Science,Durham,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Durham University,Department of Computer Science,Durham,UK","institution_ids":["https://openalex.org/I190082696"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5597,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73209645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9970999956130981,"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/T11719","display_name":"Data Quality and Management","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.693414568901062},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.6182081699371338},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.600113034248352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5897583365440369},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5684464573860168},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48136311769485474},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4324607849121094},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.42619800567626953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4096474051475525},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3713757395744324},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.28396111726760864},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27445125579833984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693414568901062},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.6182081699371338},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.600113034248352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5897583365440369},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5684464573860168},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48136311769485474},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4324607849121094},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42619800567626953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4096474051475525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3713757395744324},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.28396111726760864},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27445125579833984}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533981","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.dur.ac.uk.OAI2:33389","is_oa":false,"landing_page_url":"http://dro.dur.ac.uk/33389/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196258","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE International Joint Conference on Neural Network (IJCNN2021), Virtual, 18-22 Jul 2021 [Conference proceedings]","raw_type":"Conference item"},{"id":"pmh:oai:kar.kent.ac.uk:108673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/IJCNN52387.2021.9533981>)","pdf_url":null,"source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:durham-repository.worktribe.com:1140645","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1140645","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"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":null,"raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:durham-repository.worktribe.com:1140645","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1140645","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"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":null,"raw_type":"acceptedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W195465510","https://openalex.org/W582134693","https://openalex.org/W601603264","https://openalex.org/W1501856433","https://openalex.org/W1592410721","https://openalex.org/W2095705004","https://openalex.org/W2107107106","https://openalex.org/W2111565546","https://openalex.org/W2116341502","https://openalex.org/W2153959628","https://openalex.org/W2519887557","https://openalex.org/W2592505114","https://openalex.org/W2606780347","https://openalex.org/W2624431344","https://openalex.org/W2731982447","https://openalex.org/W2792839479","https://openalex.org/W2809418595","https://openalex.org/W2890850650","https://openalex.org/W2907492528","https://openalex.org/W2916106175","https://openalex.org/W2944850456","https://openalex.org/W2951595529","https://openalex.org/W2952254971","https://openalex.org/W2952344766","https://openalex.org/W2952962974","https://openalex.org/W2963241951","https://openalex.org/W2963403868","https://openalex.org/W2963456618","https://openalex.org/W2963683224","https://openalex.org/W2963858333","https://openalex.org/W2964015378","https://openalex.org/W2964059111","https://openalex.org/W2964321699","https://openalex.org/W2971177068","https://openalex.org/W2985479581","https://openalex.org/W3008519205","https://openalex.org/W3011667710","https://openalex.org/W3087365230","https://openalex.org/W3090720737","https://openalex.org/W3097493017","https://openalex.org/W3105136071","https://openalex.org/W3106483960","https://openalex.org/W3128782210","https://openalex.org/W4210257598","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4385245566","https://openalex.org/W6617145748","https://openalex.org/W6618476874","https://openalex.org/W6638836233","https://openalex.org/W6674330103","https://openalex.org/W6676274861","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6733901433","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6739901393","https://openalex.org/W6740083460","https://openalex.org/W6745537798","https://openalex.org/W6749077313","https://openalex.org/W6754578491","https://openalex.org/W6760001035","https://openalex.org/W6762443547","https://openalex.org/W6769748853","https://openalex.org/W6774274842","https://openalex.org/W6783307304"],"related_works":["https://openalex.org/W3113091479","https://openalex.org/W2162899405","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W3134374554","https://openalex.org/W2237480245","https://openalex.org/W2075065631","https://openalex.org/W2519167559","https://openalex.org/W4311248832","https://openalex.org/W4386113923"],"abstract_inverted_index":{"This":[0],"research":[1],"focuses":[2],"on":[3,149],"semi-supervised":[4,189],"classification":[5,29,191],"tasks,":[6,30],"specifically":[7],"for":[8,188],"graph-structured":[9],"data":[10,155],"under":[11],"data-scarce":[12],"situations.":[13],"It":[14],"is":[15,26,146,186],"known":[16],"that":[17],"the":[18,37,51,59,67,98,104,116,122,135,140,170,174],"performance":[19,163],"of":[20,36,108,130,139,164,173],"conventional":[21],"supervised":[22],"graph":[23,45,54,112],"convolutional":[24],"models":[25,48,176],"mediocre":[27],"at":[28],"when":[31,177],"only":[32],"a":[33,85,92,128,161],"small":[34],"fraction":[35],"labeled":[38],"nodes":[39],"are":[40,78,179],"given.":[41],"Additionally,":[42],"most":[43],"existing":[44],"neural":[46],"network":[47],"often":[49],"ignore":[50],"noise":[52],"in":[53],"generation":[55],"and":[56,111],"consider":[57],"all":[58],"relations":[60],"between":[61],"objects":[62],"as":[63],"genuine":[64],"ground-truth.":[65],"Hence,":[66],"missing":[68,141],"edges":[69,77],"may":[70],"not":[71],"be":[72],"considered,":[73],"while":[74],"other":[75],"spurious":[76],"included.":[79],"Addressing":[80],"those":[81],"challenges,":[82],"we":[83],"propose":[84],"Bayesian":[86,136],"Graph":[87,123],"Attention":[88,124],"model":[89,94,167],"which":[90],"utilizes":[91],"generative":[93],"to":[95,133],"randomly":[96],"generate":[97],"observed":[99],"graph.":[100],"The":[101,143,157],"method":[102,145],"infers":[103],"joint":[105],"posterior":[106,137],"distribution":[107,138],"node":[109,190],"labels":[110,181],"structure,":[113],"by":[114],"combining":[115],"Mixed-Membership":[117],"Stochastic":[118],"Block":[119],"Model":[120],"with":[121],"Model.":[125],"We":[126],"adopt":[127],"variety":[129],"approximation":[131],"methods":[132],"estimate":[134],"labels.":[142],"proposed":[144,166],"comprehensively":[147],"evaluated":[148],"three":[150],"graph-based":[151],"deep":[152],"learning":[153],"benchmark":[154],"sets.":[156],"experimental":[158],"results":[159],"demonstrate":[160],"competitive":[162],"our":[165],"BGAT":[168],"against":[169],"current":[171],"state":[172],"art":[175],"there":[178],"few":[180],"available":[182],"(the":[183],"highest":[184],"improvement":[185],"5%),":[187],"tasks.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}