{"id":"https://openalex.org/W4399993898","doi":"https://doi.org/10.1109/tfuzz.2024.3418902","title":"Fuzzy Neural Network for Representation Learning on Uncertain Graphs","display_name":"Fuzzy Neural Network for Representation Learning on Uncertain Graphs","publication_year":2024,"publication_date":"2024-06-25","ids":{"openalex":"https://openalex.org/W4399993898","doi":"https://doi.org/10.1109/tfuzz.2024.3418902"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2024.3418902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3418902","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5071555495","display_name":"Yue-Na Lin","orcid":"https://orcid.org/0000-0002-2397-0793"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue-Na Lin","raw_affiliation_strings":["School of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2397-0793","affiliations":[{"raw_affiliation_string":"School of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029819181","display_name":"Hai-Chun Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-Chun Cai","raw_affiliation_strings":["School of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7319-7794","affiliations":[{"raw_affiliation_string":"School of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085340418","display_name":"Chun-Yang Zhang","orcid":"https://orcid.org/0000-0001-6151-7028"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Yang Zhang","raw_affiliation_strings":["School of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6151-7028","affiliations":[{"raw_affiliation_string":"School of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011073406","display_name":"Hong-Yu Yao","orcid":"https://orcid.org/0000-0001-8126-0733"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Yu Yao","raw_affiliation_strings":["School of Computer and Data Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8126-0733","affiliations":[{"raw_affiliation_string":"School of Computer and Data Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5451-7230","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8418,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93976643,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"32","issue":"9","first_page":"5259","last_page":"5271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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":0.9991999864578247,"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/T10320","display_name":"Neural Networks and Applications","score":0.9919000267982483,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6059787273406982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5499500632286072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5470099449157715},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.48616692423820496},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4769936203956604},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4378760755062103},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.4372308850288391},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4317219853401184},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36693817377090454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3647402226924896}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6059787273406982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5499500632286072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5470099449157715},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.48616692423820496},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4769936203956604},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4378760755062103},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.4372308850288391},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4317219853401184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36693817377090454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3647402226924896},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2024.3418902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3418902","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G3271887843","display_name":null,"funder_award_id":"62076065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4512728348","display_name":null,"funder_award_id":"2020J01495","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2026911819","https://openalex.org/W2057820731","https://openalex.org/W2083069513","https://openalex.org/W2115143044","https://openalex.org/W2119826792","https://openalex.org/W2130913096","https://openalex.org/W2145744906","https://openalex.org/W2152329090","https://openalex.org/W2154851992","https://openalex.org/W2164321187","https://openalex.org/W2562903767","https://openalex.org/W2925331587","https://openalex.org/W2949208225","https://openalex.org/W2962756421","https://openalex.org/W2999301998","https://openalex.org/W3012816161","https://openalex.org/W3089611792","https://openalex.org/W3095746859","https://openalex.org/W3104097132","https://openalex.org/W3114928288","https://openalex.org/W3118035739","https://openalex.org/W3154503084","https://openalex.org/W3155265425","https://openalex.org/W3204453541","https://openalex.org/W3213412677","https://openalex.org/W4283796586","https://openalex.org/W4292263294","https://openalex.org/W4293651439","https://openalex.org/W4294310652","https://openalex.org/W4312266567","https://openalex.org/W4323338660","https://openalex.org/W4380765046","https://openalex.org/W4387757604","https://openalex.org/W6682889407","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6733814495","https://openalex.org/W6738964360","https://openalex.org/W6744557953","https://openalex.org/W6754929296","https://openalex.org/W6755573351","https://openalex.org/W6760001035","https://openalex.org/W6760045743","https://openalex.org/W6779940601","https://openalex.org/W6803865595","https://openalex.org/W6838776655"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W3207109968","https://openalex.org/W2336148757","https://openalex.org/W135622916","https://openalex.org/W829773823","https://openalex.org/W2937114745"],"abstract_inverted_index":{"Graph":[0],"representation":[1,58],"learning":[2],"focuses":[3],"on":[4],"abstracting":[5],"critical":[6],"information":[7],"from":[8],"raw":[9,28],"graphs.":[10,29],"Unfortunately,":[11],"there":[12],"always":[13],"exist":[14],"various":[15,169],"kinds":[16],"of":[17,77,112,137],"uncertainties,":[18,101],"such":[19],"as":[20],"attribute":[21],"noise":[22],"and":[23,56,75,89,145,159,171,186],"network":[24,121],"topology":[25],"corruption,":[26],"in":[27,115,142,183],"Under":[30],"the":[31,41,73,110,113,135,149,175],"message":[32],"passing":[33],"mechanism,":[34],"certainties":[35],"are":[36,91,103],"likely":[37],"to":[38,67,98,125,163],"spread":[39],"throughout":[40],"whole":[42],"graph.":[43],"Matters":[44],"like":[45],"these":[46],"would":[47],"induce":[48],"deep":[49],"graph":[50,69,78,100,119,129],"models":[51,182],"into":[52],"producing":[53],"uncertain":[54],"representations":[55,97],"restrict":[57],"expressiveness.":[59],"Considering":[60],"this,":[61],"we":[62,85,152],"propose":[63],"a":[64,118,127],"pioneering":[65],"framework":[66],"defend":[68],"uncertainties":[70,165],"by":[71,106],"improving":[72],"robustness":[74],"capability":[76],"neural":[79],"networks":[80],"(GNNs).":[81],"In":[82,148,174],"our":[83],"framework,":[84,114],"consider":[86],"that":[87,154],"weights":[88],"biases":[90],"all":[92],"fuzzy":[93],"numbers,":[94],"thus":[95],"generating":[96],"assimilate":[99],"which":[102],"finally":[104],"released":[105],"defuzzification.":[107],"To":[108,133],"describe":[109],"process":[111],"this":[116],"article,":[117],"convolutional":[120],"(GCN)":[122],"is":[123,140,160],"employed":[124],"construct":[126],"robust":[128,172],"model,":[130],"called":[131],"FuzzyGCN.":[132],"verify":[134],"effectiveness":[136],"FuzzyGCN,":[138],"it":[139],"trained":[141],"both":[143],"supervised":[144,150],"unsupervised":[146,176],"ways.":[147],"setting,":[151,177],"find":[153],"FuzzyGCN":[155,178],"has":[156],"stronger":[157],"power":[158],"more":[161],"immune":[162],"data":[164],"when":[166],"compared":[167],"with":[168],"classical":[170],"GNNs.":[173],"surpasses":[179],"many":[180],"state-of-the-art":[181],"node":[184],"classification":[185],"community":[187],"detection":[188],"over":[189],"several":[190],"real-world":[191],"datasets.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}