{"id":"https://openalex.org/W7117318493","doi":"https://doi.org/10.1109/tfuzz.2025.3648336","title":"FGMMa: Multiembedding Node Classification via Fuzzy Graph Message Passing and Graph Mamba","display_name":"FGMMa: Multiembedding Node Classification via Fuzzy Graph Message Passing and Graph Mamba","publication_year":2025,"publication_date":"2025-12-26","ids":{"openalex":"https://openalex.org/W7117318493","doi":"https://doi.org/10.1109/tfuzz.2025.3648336"},"language":null,"primary_location":{"id":"doi:10.1109/tfuzz.2025.3648336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3648336","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":null,"display_name":"Tian Xie","orcid":"https://orcid.org/0009-0000-5645-0682"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Xie","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0009-0000-5645-0682","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060742858","display_name":"Tao Yin","orcid":"https://orcid.org/0009-0000-5510-5000"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yin","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0009-0000-5510-5000","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121323260","display_name":"Wei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0009-0003-5785-7363","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014589017","display_name":"Hengrong Ju","orcid":"https://orcid.org/0000-0001-9894-9844"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengrong Ju","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0000-0001-9894-9844","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087093956","display_name":"Jiashuang Huang","orcid":"https://orcid.org/0000-0002-6204-9569"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiashuang Huang","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0000-0002-6204-9569","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121308415","display_name":"Weiping Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0000-0002-3180-7347","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I199305430"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74278296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"3","first_page":"787","last_page":"801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9860000014305115,"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":0.9860000014305115,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.004999999888241291,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.5953999757766724},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5065000057220459},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4632999897003174},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.40290001034736633},{"id":"https://openalex.org/keywords/graph-factorization","display_name":"Graph factorization","score":0.36079999804496765},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.3361999988555908},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.31439998745918274},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.3057999908924103}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5953999757766724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5069000124931335},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5065000057220459},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46549999713897705},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4632999897003174},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.40290001034736633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37940001487731934},{"id":"https://openalex.org/C128115575","wikidata":"https://www.wikidata.org/wiki/Q5597083","display_name":"Graph factorization","level":5,"score":0.36079999804496765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3549000024795532},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3361999988555908},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.2971000075340271},{"id":"https://openalex.org/C54540088","wikidata":"https://www.wikidata.org/wiki/Q3498041","display_name":"Intersection graph","level":4,"score":0.2906999886035919},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.2849000096321106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28279998898506165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2809000015258789},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.27320000529289246},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.2635999917984009},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2025.3648336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3648336","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":[],"awards":[{"id":"https://openalex.org/G1581597255","display_name":null,"funder_award_id":"62576178","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1669277797","display_name":null,"funder_award_id":"62471259","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4286351655","display_name":null,"funder_award_id":"U2433216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5243565220","display_name":null,"funder_award_id":"62506176","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7476944060","display_name":null,"funder_award_id":"BK20231337","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,77,99,170],"explosive":[2],"growth":[3],"of":[4,41,81,123,158],"graph":[5,14,127],"data":[6],"in":[7],"scale,":[8],"noise,":[9],"and":[10,27,48,64,79,97,126,133,144,162,173,200],"structural":[11],"complexity,":[12],"existing":[13],"neural":[15],"networks":[16],"(GNNs)":[17],"are":[18,137],"reaching":[19],"a":[20,37,56,66,120,189],"performance":[21],"bottleneck":[22],"when":[23],"simultaneously":[24],"modelling":[25],"uncertainty":[26],"long-range":[28,115],"dependencies.":[29,116],"To":[30],"overcome":[31],"this":[32],"limitation,":[33],"we":[34],"introduce":[35],"FGMMa,":[36],"two-stage":[38],"framework":[39],"composed":[40],"node-level":[42],"Fuzzy":[43,50,85],"Graph":[44,52,87,101],"Message":[45],"Passing":[46],"(FGMP)":[47],"subgraph-level":[49],"NeuralSort":[51,86,91],"Mamba.":[53],"FGMP":[54],"assigns":[55],"learnable":[57],"fuzzy":[58,94,124],"membership":[59],"degree":[60],"to":[61,69,92,103,140],"each":[62],"edge":[63],"employs":[65],"fuzzy-max":[67],"aggregator":[68],"suppress":[70],"noise":[71],"at":[72],"its":[73],"source,":[74],"thereby":[75],"enhancing":[76],"robustness":[78],"interpretability":[80],"node":[82,142],"representations.":[83],"The":[84,130],"Mamba":[88,102],"subsequently":[89],"applies":[90],"order":[93],"subgraph":[95,135],"features":[96],"utilises":[98],"linear-time":[100],"dynamically":[104],"regulate":[105],"inter-subgraph":[106],"information":[107],"flow,":[108],"generating":[109],"high-quality":[110],"sequential":[111,134],"embeddings":[112,136],"that":[113],"capture":[114],"Consequently,":[117],"FGMMa":[118,153,193],"offers":[119],"principled":[121],"integration":[122],"theory":[125],"representation":[128],"learning.":[129],"node,":[131],"fuzzy,":[132],"then":[138],"fused":[139],"perform":[141],"classification":[143,203],"other":[145],"downstream":[146],"tasks.":[147],"Across":[148],"seven":[149],"public":[150],"benchmark":[151],"datasets,":[152,172],"attains":[154],"state-of-the-art":[155],"node-classification":[156],"accuracies":[157],"93.42%":[159],"on":[160,164,169,188],"Amazon-Photo":[161],"96.83%":[163],"Reddit,":[165],"surpasses":[166],"strong":[167],"baselines":[168],"remaining":[171],"yields":[174],"lower":[175],"average":[176],"running":[177],"time":[178],"together":[179],"with":[180],"higher":[181],"<inline-formula":[182],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[183],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[184],"notation=\"LaTeX\">$F_{1}$</tex-math></inline-formula>":[185],"scores.":[186],"Moreover,":[187],"schizophrenia":[190],"functional-connectivity":[191],"dataset,":[192],"identifies":[194],"multiple":[195],"clinically":[196],"relevant":[197],"brain":[198],"regions":[199],"achieves":[201],"superior":[202],"accuracy.":[204]},"counts_by_year":[],"updated_date":"2026-03-03T06:13:14.889584","created_date":"2025-12-26T00:00:00"}
