{"id":"https://openalex.org/W4416249598","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228225","title":"Adaptive Sparse Graph Convolutional Mamba Network for EEG Emotion Recognition","display_name":"Adaptive Sparse Graph Convolutional Mamba Network for EEG Emotion Recognition","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416249598","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228225"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5056801542","display_name":"Huilong Duan","orcid":"https://orcid.org/0000-0003-3893-213X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Haiyue Duan","raw_affiliation_strings":["Ministry of Education,Key Laboratory of Aerospace Information Security and Trusted Computing"],"affiliations":[{"raw_affiliation_string":"Ministry of Education,Key Laboratory of Aerospace Information Security and Trusted Computing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045475851","display_name":"Z. D. Nie","orcid":"https://orcid.org/0000-0002-0234-4208"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zizheng Nie","raw_affiliation_strings":["Nanchang University,School of Mathematics and Computer Sciences,Nanchang,China"],"affiliations":[{"raw_affiliation_string":"Nanchang University,School of Mathematics and Computer Sciences,Nanchang,China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000928027","display_name":"Shuiyuan Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuiyuan Huang","raw_affiliation_strings":["Nanchang University,School of Mathematics and Computer Sciences,Nanchang,China"],"affiliations":[{"raw_affiliation_string":"Nanchang University,School of Mathematics and Computer Sciences,Nanchang,China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103027059","display_name":"Wenying Duan","orcid":"https://orcid.org/0000-0003-4620-0465"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenying Duan","raw_affiliation_strings":["Nanchang University,School of Mathematics and Computer Sciences,Nanchang,China"],"affiliations":[{"raw_affiliation_string":"Nanchang University,School of Mathematics and Computer Sciences,Nanchang,China","institution_ids":["https://openalex.org/I141649914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056801542"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38164318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.7526999711990356,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.7526999711990356,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.17110000550746918,"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"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.013700000010430813,"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/graph","display_name":"Graph","score":0.5734000205993652},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5153999924659729},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.486299991607666},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.444599986076355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39309999346733093},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.35659998655319214},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.3418999910354614},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3416999876499176}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7534999847412109},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5734000205993652},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5153999924659729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5077000260353088},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.486299991607666},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.444599986076355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39309999346733093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37059998512268066},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3418999910354614},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3391999900341034},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.3050000071525574},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2971999943256378},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.27390000224113464},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.2624000012874603}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228225","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228225","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2002055708","https://openalex.org/W2194775991","https://openalex.org/W2625929003","https://openalex.org/W2790404832","https://openalex.org/W2950982700","https://openalex.org/W2952286992","https://openalex.org/W2970007912","https://openalex.org/W2997025969","https://openalex.org/W3024961463","https://openalex.org/W3034369844","https://openalex.org/W3038052796","https://openalex.org/W3045153122","https://openalex.org/W3088256290","https://openalex.org/W3091553737","https://openalex.org/W3121117531","https://openalex.org/W3186567046","https://openalex.org/W4205558134","https://openalex.org/W4220866631","https://openalex.org/W4291652904","https://openalex.org/W4312597583","https://openalex.org/W4312891224","https://openalex.org/W4313495967","https://openalex.org/W4319069149","https://openalex.org/W4385245566","https://openalex.org/W4403488223"],"related_works":[],"abstract_inverted_index":{"EEG-based":[0,159],"emotion":[1,160],"recognition":[2],"has":[3],"become":[4],"a":[5,75,136],"pivotal":[6],"area":[7],"in":[8,29,49,57,64,158],"brain-computer":[9],"interaction":[10],"(BCI),":[11],"offering":[12],"transformative":[13],"potential":[14],"for":[15,38,165],"affective":[16],"computing.":[17],"While":[18],"adaptive":[19,169],"graph":[20,86,102],"convolutional":[21],"networks":[22],"(AGCNs)":[23],"excel":[24],"at":[25],"modeling":[26],"spatial":[27],"relationships":[28,109],"multi-channel":[30],"EEG":[31,65],"signals,":[32],"and":[33,53,123,153,168],"state-of-the-art":[34],"approaches":[35],"leverage":[36],"Transformers":[37,134],"temporal":[39],"sequence":[40,90],"modeling,":[41],"their":[42],"integration":[43],"remains":[44],"suboptimal.":[45],"Critical":[46],"limitations":[47],"persist":[48],"generalizability,":[50],"computational":[51,154],"efficiency,":[52],"dynamic":[54],"spatial-temporal":[55],"representation\u2014particularly":[56],"capturing":[58],"the":[59,73,150,163],"non-stationary,":[60],"long-range":[61],"dependencies":[62],"inherent":[63],"data.":[66],"To":[67],"address":[68],"these":[69],"challenges,":[70],"we":[71],"propose":[72],"ASGC-Mamba,":[74],"novel":[76],"Adaptive":[77],"Spatial-Temporal":[78],"Graph":[79],"Neural":[80],"Network":[81],"(AST-GNN)":[82],"that":[83,105,131],"synergizes":[84],"enhanced":[85],"learning":[87],"with":[88,115,135],"state-space":[89],"modeling.":[91],"Our":[92],"framework":[93],"introduces":[94],"two":[95],"key":[96],"innovations:":[97],"1)":[98],"MultiHead-SAGCN,":[99],"an":[100],"adpative":[101],"convolution":[103],"module":[104],"learns":[106],"heterogeneous":[107],"topological":[108],"across":[110],"multiple":[111],"latent":[112],"subspaces,":[113],"coupled":[114],"Spatial":[116],"Sparsity":[117],"Learning":[118],"to":[119],"eliminate":[120],"redundant":[121],"connections":[122],"enhance":[124],"interpretability;":[125],"2)":[126],"A":[127],"State-Space":[128],"Temporal":[129],"Model":[130],"replaces":[132],"conventional":[133],"Mamba-based":[137],"architecture,":[138],"enabling":[139],"linear-time":[140],"complexity":[141],"while":[142],"maintaining":[143],"global":[144],"contextual":[145],"awareness.":[146],"Extensive":[147],"experiments":[148],"demonstrate":[149],"superior":[151],"performance":[152],"efficiency":[155],"of":[156],"ASGC-Mamba":[157],"recognition,":[161],"paving":[162],"way":[164],"more":[166],"robust":[167],"BCI":[170],"applications.":[171]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}