{"id":"https://openalex.org/W4402351479","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651367","title":"FHAA-GCN: Feature Homogeneous Adaptive Aggregation Graph Convolutional Network for Alzheimer\u2019s Disease Prediction","display_name":"FHAA-GCN: Feature Homogeneous Adaptive Aggregation Graph Convolutional Network for Alzheimer\u2019s Disease Prediction","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351479","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651367"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5100362834","display_name":"Zhiwen Wang","orcid":"https://orcid.org/0000-0001-5238-7110"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiwen Wang","raw_affiliation_strings":["South China Agricultural University,College of Mathematics and Informatics,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China Agricultural University,College of Mathematics and Informatics,Guangzhou,China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111319792","display_name":"Haoqiang Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoqiang Gong","raw_affiliation_strings":["South China Agricultural University,College of Mathematics and Informatics,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China Agricultural University,College of Mathematics and Informatics,Guangzhou,China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100344675","display_name":"Jinfeng Wang","orcid":"https://orcid.org/0000-0002-1246-4617"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Wang","raw_affiliation_strings":["South China Agricultural University,College of Mathematics and Informatics,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"South China Agricultural University,College of Mathematics and Informatics,Guangzhou,China","institution_ids":["https://openalex.org/I101479585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100362834"],"corresponding_institution_ids":["https://openalex.org/I101479585"],"apc_list":null,"apc_paid":null,"fwci":0.4084,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64663153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9775999784469604,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7248767614364624},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.6418780088424683},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6373063325881958},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5297250151634216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4326778054237366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33030959963798523},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1994723081588745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11815318465232849},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.052840977907180786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7248767614364624},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.6418780088424683},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6373063325881958},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5297250151634216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4326778054237366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33030959963798523},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1994723081588745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11815318465232849},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.052840977907180786},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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":29,"referenced_works":["https://openalex.org/W2113720166","https://openalex.org/W2155164847","https://openalex.org/W2161633633","https://openalex.org/W2166336042","https://openalex.org/W2296578831","https://openalex.org/W2575359420","https://openalex.org/W2597926140","https://openalex.org/W2606296795","https://openalex.org/W2774547254","https://openalex.org/W2901968891","https://openalex.org/W2907492528","https://openalex.org/W2908040982","https://openalex.org/W2945872528","https://openalex.org/W2992760601","https://openalex.org/W2995254660","https://openalex.org/W2999047301","https://openalex.org/W3118879984","https://openalex.org/W3119741805","https://openalex.org/W3173388607","https://openalex.org/W4210775460","https://openalex.org/W4220876232","https://openalex.org/W4224325634","https://openalex.org/W4283716944","https://openalex.org/W4283810673","https://openalex.org/W4294811398","https://openalex.org/W4297733535","https://openalex.org/W4308601243","https://openalex.org/W4381716608","https://openalex.org/W6788443403"],"related_works":["https://openalex.org/W1598955744","https://openalex.org/W4285167822","https://openalex.org/W2951710344","https://openalex.org/W2204136089","https://openalex.org/W2144602163","https://openalex.org/W4384111961","https://openalex.org/W2127985649","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W4386159726"],"abstract_inverted_index":{"Alzheimer\u2019s":[0],"disease":[1],"(AD)":[2],"is":[3,51,59,162],"a":[4,32,55,63,88,126],"chronic,":[5],"progressive,":[6],"and":[7,31,69,79,116,138],"irreversible":[8],"neurodegenerative":[9],"disorder.":[10],"Current":[11],"research":[12],"has":[13,23],"focused":[14],"on":[15,136,142],"single-data":[16],"modal":[17],"studies":[18,135],"of":[19,27,74,107,129,157],"imaging":[20],"data.":[21],"It":[22],"limitations":[24],"in":[25,53,87,155],"terms":[26,156],"low":[28],"predictive":[29],"efficiency":[30],"single":[33],"data":[34],"source.":[35],"In":[36],"this":[37],"paper,":[38],"an":[39],"improved":[40],"deep-learning":[41],"method,":[42],"Feature":[43],"Homogeneous":[44],"Adaptive":[45],"Aggregation":[46],"Graph":[47],"Convolutional":[48],"Network":[49],"(FHAA-GCN)":[50],"proposed,":[52],"which":[54,111],"feature":[56,99],"fusion":[57],"network":[58,109],"constructed":[60],"by":[61,103],"performing":[62],"correlation":[64],"analysis":[65],"between":[66],"brain":[67,95,114],"regions":[68,115],"genes.":[70],"The":[71,97,122,160],"lesion":[72],"information":[73],"nodes":[75,100],"can":[76,112],"be":[77],"propagated":[78],"updated.":[80],"More":[81],"comprehensive":[82],"nodal":[83],"correlations":[84],"are":[85,101],"represented":[86],"homogeneity":[89],"matrix":[90],"with":[91,118,131],"functional":[92],"connectivity":[93],"among":[94],"regions.":[96],"fused":[98],"extracted":[102],"changing":[104],"the":[105,143,151],"weights":[106],"each":[108],"layer,":[110],"identify":[113],"genes":[117],"high":[119,127],"importance":[120],"scores.":[121],"extraction":[123],"results":[124],"show":[125],"degree":[128],"overlap":[130],"many":[132],"current":[133],"clinical":[134],"AD":[137],"related":[139],"diseases.":[140],"Based":[141],"experimental":[144],"comparison":[145],"results,":[146],"our":[147],"proposed":[148],"method":[149],"outperforms":[150],"currently":[152],"popular":[153],"methods":[154],"prediction":[158],"performance.":[159],"code":[161],"available":[163],"at:":[164],"https://github.com/NewWr/FHAA-GCN.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
