{"id":"https://openalex.org/W4393970217","doi":"https://doi.org/10.1145/3644116.3644240","title":"Research on classification of brain function network in depression based on graph attention network","display_name":"Research on classification of brain function network in depression based on graph attention network","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4393970217","doi":"https://doi.org/10.1145/3644116.3644240"},"language":"en","primary_location":{"id":"doi:10.1145/3644116.3644240","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","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/A5022434100","display_name":"Xinyu Zou","orcid":"https://orcid.org/0000-0003-4916-2986"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyu Zou","raw_affiliation_strings":["Beijing University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-4916-2986","affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022434100"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23374313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"740","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9990000128746033,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9990000128746033,"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/T13283","display_name":"Mental Health Research Topics","score":0.9922000169754028,"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":0.9513000249862671,"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/computer-science","display_name":"Computer science","score":0.5990520715713501},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.5139265060424805},{"id":"https://openalex.org/keywords/brain-function","display_name":"Brain function","score":0.49535810947418213},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43147212266921997},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.414206326007843},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35323774814605713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3288596272468567},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2947896122932434},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.23546889424324036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11950522661209106},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06567969918251038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5990520715713501},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5139265060424805},{"id":"https://openalex.org/C3018390542","wikidata":"https://www.wikidata.org/wiki/Q1073","display_name":"Brain function","level":2,"score":0.49535810947418213},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43147212266921997},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.414206326007843},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35323774814605713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3288596272468567},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2947896122932434},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.23546889424324036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11950522661209106},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06567969918251038},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3644116.3644240","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","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":9,"referenced_works":["https://openalex.org/W2020786906","https://openalex.org/W2087364779","https://openalex.org/W2142414500","https://openalex.org/W2168372372","https://openalex.org/W2779923874","https://openalex.org/W2914503519","https://openalex.org/W2920936173","https://openalex.org/W2962248468","https://openalex.org/W4312891224"],"related_works":["https://openalex.org/W2086259589","https://openalex.org/W2012885586","https://openalex.org/W59104321","https://openalex.org/W2517686979","https://openalex.org/W2198484008","https://openalex.org/W4385627933","https://openalex.org/W2532801570","https://openalex.org/W2480127678","https://openalex.org/W2806270048","https://openalex.org/W4310605282"],"abstract_inverted_index":{"The":[0],"traditional":[1],"method":[2],"of":[3,8,19,76,109,120,128,150],"analyzing":[4],"the":[5,16,27,34,73,77,82,95,104,110,125,129,135,158,164],"brain":[6,38,50,57,79,85,92,112,126,136,141],"network":[7,59,70],"depression":[9,78],"based":[10,60],"on":[11,61,157],"sub-frequency":[12],"bands":[13,132],"only":[14],"considers":[15],"classification":[17],"effect":[18],"single-frequency":[20],"sub-band":[21],"signals,":[22],"and":[23,88,97,106,123,140,163],"does":[24],"not":[25],"explore":[26],"relationship":[28],"between":[29,36,84],"different":[30],"time":[31],"bands.":[32],"Analyzing":[33],"correlations":[35],"each":[37],"functional":[39,113,137,151],"segment":[40],"in":[41],"isolation":[42],"comes":[43],"from":[44,48],"global":[45,74],"information":[46,75],"missing":[47],"building":[49],"networks.":[51],"Therefore,":[52],"this":[53],"paper":[54],"builds":[55],"a":[56,67,117],"function":[58,86],"five":[62,130],"common":[63],"EEG":[64],"bands,":[65],"introduces":[66],"graph":[68],"attention":[69],"to":[71,102,133],"extract":[72],"network,":[80],"recalculates":[81],"correlation":[83],"nodes,":[87],"extracts":[89],"more":[90],"refined":[91],"functions":[93],"Connect":[94],"information,":[96,122],"build":[98],"an":[99],"autonomous":[100],"encoder":[101],"reduce":[103,116],"dimensionality":[105],"feature":[107],"enhancement":[108],"sparse":[111],"connection":[114,138],"matrix,":[115],"small":[118],"number":[119],"residual":[121],"fuse":[124],"networks":[127],"video":[131,146],"obtain":[134],"features":[139,142],"that":[143],"include":[144],"all":[145],"band":[147],"features.":[148,153],"Classification":[149],"node":[152],"It":[154],"is":[155,169],"verified":[156],"public":[159],"data":[160],"set":[161],"MODMA,":[162],"highest":[165],"recognition":[166],"accuracy":[167],"rate":[168],"98.42%.":[170]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
