{"id":"https://openalex.org/W4372348306","doi":"https://doi.org/10.1109/icassp49357.2023.10095707","title":"Tensor-based Complex-valued Graph Neural Network for Dynamic Coupling Multimodal brain Networks","display_name":"Tensor-based Complex-valued Graph Neural Network for Dynamic Coupling Multimodal brain Networks","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372348306","doi":"https://doi.org/10.1109/icassp49357.2023.10095707"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029228576","display_name":"Yanwu Yang","orcid":"https://orcid.org/0000-0002-7547-4580"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwu Yang","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen,China","Harbin Institute of Technology, Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089176099","display_name":"Guoqing Cai","orcid":"https://orcid.org/0000-0002-0214-8549"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Cai","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen,China","Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021063919","display_name":"Chenfei Ye","orcid":"https://orcid.org/0000-0001-5265-3546"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenfei Ye","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen,China","Harbin Institute of Technology, Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101632572","display_name":"Yang Xiang","orcid":"https://orcid.org/0000-0003-1395-6805"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Xiang","raw_affiliation_strings":["Peng Cheng Laboratory,Shenzhen,China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory,Shenzhen,China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063352703","display_name":"Ting Ma","orcid":"https://orcid.org/0000-0001-8819-6228"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Ma","raw_affiliation_strings":["Harbin Institute of Technology,Shenzhen,China","Harbin Institute of Technology, Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,Shenzhen,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0544,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85928922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9991999864578247,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6466842293739319},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5634710788726807},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45937785506248474},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4549046456813812},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.43662580847740173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34220051765441895},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31115657091140747},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1973939836025238},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07683038711547852},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.07352691888809204}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6466842293739319},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5634710788726807},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45937785506248474},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4549046456813812},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.43662580847740173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34220051765441895},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31115657091140747},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1973939836025238},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07683038711547852},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.07352691888809204}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2117969006","https://openalex.org/W2267939148","https://openalex.org/W2526511911","https://openalex.org/W2692303295","https://openalex.org/W2766921515","https://openalex.org/W2794345050","https://openalex.org/W2892880750","https://openalex.org/W2896337276","https://openalex.org/W2898606889","https://openalex.org/W2899450342","https://openalex.org/W2939626212","https://openalex.org/W2966720510","https://openalex.org/W3172377047","https://openalex.org/W3178791461","https://openalex.org/W3216528674","https://openalex.org/W4224932469","https://openalex.org/W6756005648","https://openalex.org/W6798429009"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2532801570","https://openalex.org/W4385627933","https://openalex.org/W2480127678","https://openalex.org/W2806270048","https://openalex.org/W4310605282"],"abstract_inverted_index":{"The":[0],"multi-modal":[1,16,106],"neuroimage":[2],"study":[3,63],"has":[4],"dramatically":[5],"facilitated":[6],"disease":[7,108],"diagnosis.":[8],"Tensor-based":[9,66],"methods":[10,27],"are":[11],"commonly":[12],"used":[13],"to":[14,72],"represent":[15],"data":[17],"as":[18,31,76],"multi-dimensional":[19],"arrays":[20],"and":[21,54,85,99],"usually":[22],"implement":[23],"matrix":[24],"decomposition.":[25],"These":[26],"can":[28],"be":[29],"seen":[30],"a":[32,49,65],"linear":[33],"algebraic":[34],"way":[35],"for":[36],"the":[37],"lossy":[38,45],"compression":[39],"of":[40],"an":[41],"array.":[42],"However,":[43],"involved":[44],"operations":[46],"might":[47],"have":[48],"negative":[50],"impact":[51],"on":[52,90],"performance,":[53],"overlook":[55],"underlying":[56,82],"important":[57],"complementary":[58,83],"information":[59],"between":[60],"modalities.":[61],"This":[62],"proposes":[64],"Complex-valued":[67],"Graph":[68],"Neural":[69],"Network":[70],"(TC-GNN)":[71],"model":[73],"multimodal":[74],"neuroimages":[75],"complex-valued":[77],"tensor":[78],"graphs":[79],"by":[80],"investigating":[81],"associations":[84],"cross-modality":[86],"message":[87],"aggregation.":[88],"Experiments":[89],"two":[91],"real-world":[92],"datasets":[93],"demonstrate":[94],"our":[95],"method\u2019s":[96],"consistent":[97],"improvements":[98],"superiority":[100],"over":[101],"other":[102],"baseline":[103],"models":[104],"in":[105],"brain":[107],"analysis.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}