{"id":"https://openalex.org/W3161724753","doi":"https://doi.org/10.1109/icassp39728.2021.9413486","title":"HCAG: A Hierarchical Context-Aware Graph Attention Model for Depression Detection","display_name":"HCAG: A Hierarchical Context-Aware Graph Attention Model for Depression Detection","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3161724753","doi":"https://doi.org/10.1109/icassp39728.2021.9413486","mag":"3161724753"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 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/A5002717922","display_name":"Meng Niu","orcid":null},"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":"Meng Niu","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/A5000896506","display_name":"Kai Chen","orcid":"https://orcid.org/0009-0005-1035-6574"},"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":"Kai Chen","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/A5101895423","display_name":"Qingcai Chen","orcid":"https://orcid.org/0000-0001-8473-7293"},"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":"Qingcai Chen","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":"last","author":{"id":"https://openalex.org/A5113945153","display_name":"Yang Lu-feng","orcid":null},"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":"Lufeng Yang","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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4235","last_page":"4239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T12488","display_name":"Mental Health via Writing","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10667","display_name":"Emotion and Mood Recognition","score":0.9970999956130981,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7027795314788818},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6252633333206177},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.6032395362854004},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5197853446006775},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5137325525283813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46495091915130615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.460409015417099},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4322667717933655},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.41666150093078613},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27874720096588135},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19297194480895996},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12039485573768616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10235032439231873}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7027795314788818},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6252633333206177},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.6032395362854004},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5197853446006775},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5137325525283813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46495091915130615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.460409015417099},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4322667717933655},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.41666150093078613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27874720096588135},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19297194480895996},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12039485573768616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10235032439231873},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 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/F4320321940","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1637570796","https://openalex.org/W2048533792","https://openalex.org/W2054931962","https://openalex.org/W2085662862","https://openalex.org/W2134431612","https://openalex.org/W2239141610","https://openalex.org/W2252180568","https://openalex.org/W2529925562","https://openalex.org/W2530421149","https://openalex.org/W2530431529","https://openalex.org/W2531271152","https://openalex.org/W2767030624","https://openalex.org/W2889056793","https://openalex.org/W2935705121","https://openalex.org/W2936849887","https://openalex.org/W2963858333","https://openalex.org/W2964077576","https://openalex.org/W2972853497","https://openalex.org/W3016243233","https://openalex.org/W3098431772","https://openalex.org/W3105318164","https://openalex.org/W4297733535","https://openalex.org/W6636885848","https://openalex.org/W6691669583","https://openalex.org/W6761024849"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W165915117","https://openalex.org/W2326995835","https://openalex.org/W2743859443","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W3200661810","https://openalex.org/W3213655484","https://openalex.org/W4320149722"],"abstract_inverted_index":{"Depression":[0],"is":[1,37],"one":[2],"of":[3,72,87,103,110,119,124],"the":[4,44,69,77,92,101,122,130],"most":[5],"common":[6],"mental":[7],"health":[8],"disorders,":[9],"it\u2019s":[10],"crucial":[11],"to":[12,82],"design":[13],"an":[14],"effective":[15],"and":[16,75,112],"robust":[17],"model":[18,63,67,128],"for":[19,64],"automatic":[20],"depression":[21,73],"detection":[22],"(ADD).":[23],"Although":[24],"current":[25],"approaches":[26],"rely":[27],"on":[28,91],"extra":[29],"topic":[30],"models":[31],"or":[32],"manually":[33],"topic-selection":[34],"procedures":[35],"which":[36],"time-consuming,":[38],"they":[39],"still":[40],"haven\u2019t":[41],"thoroughly":[42],"explored":[43],"sufficient":[45],"context":[46],"information":[47,86],"among":[48],"clinical":[49],"interviews.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"HCAG,":[56],"a":[57,96,105,113],"novel":[58],"Hierarchical":[59],"Context-Aware":[60],"Graph":[61,78],"attention":[62],"ADD.":[65],"Our":[66],"mirrors":[68],"hierarchical":[70],"structure":[71],"assessment":[74],"leverages":[76],"Attention":[79],"Network":[80],"(GAT)":[81],"grasp":[83],"relational":[84],"contextual":[85],"text/audio":[88],"modality.":[89],"Experiments":[90],"DAIC-WOZ":[93],"dataset":[94],"show":[95],"great":[97],"performance":[98],"improvement,":[99],"with":[100],"Fl-score":[102],"0.92,":[104],"Mean":[106,115],"Absolute":[107],"Error":[108,117],"(MAE)":[109],"2.94,":[111],"Root":[114],"Square":[116],"(RMSE)":[118],"3.80.":[120],"To":[121],"best":[123],"our":[125,127],"knowledge,":[126],"outperforms":[129],"existing":[131],"state-of-the-art":[132],"methods.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
