{"id":"https://openalex.org/W7202118306","doi":"https://doi.org/10.48550/arxiv.2608.06785","title":"Multi-Perspective Triad Interaction Graph Neural Network for Cognitive Distortion Detection","display_name":"Multi-Perspective Triad Interaction Graph Neural Network for Cognitive Distortion Detection","publication_year":2026,"publication_date":"2026-08-07","ids":{"openalex":"https://openalex.org/W7202118306","doi":"https://doi.org/10.48550/arxiv.2608.06785"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.06785","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.06785","pdf_url":"https://arxiv.org/pdf/2608.06785","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.06785","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103424713","display_name":"J.S. Kim","orcid":"https://orcid.org/0009-0005-7581-9357","observed_orcids":["https://orcid.org/0009-0005-7581-9357"]},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kim, Jun Seo","raw_affiliation_strings":["Department of Computer Engineering , Gachon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering , Gachon University","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085143832","display_name":"Hye Hyeon Kim","orcid":"https://orcid.org/0000-0002-1928-4168","observed_orcids":["https://orcid.org/0000-0002-1928-4168"]},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kim, Hye Hyeon","raw_affiliation_strings":["Department of Biomedical Systems Informatics , Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Systems Informatics , Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9984999895095825,"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":0.9984999895095825,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10853","display_name":"Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes","score":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/graph-neural-networks","display_name":"graph neural networks","score":0.7390000224113464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6486999988555908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6406999826431274},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6118999719619751},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.6011000275611877},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.5683000087738037},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5401999950408936},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5375000238418579},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5194000005722046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4796999990940094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4772000014781952},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4641000032424927},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C176038584","wikidata":"https://www.wikidata.org/wiki/Q626432","display_name":"Triad (sociology)","level":2,"score":0.39800000190734863},{"id":"https://openalex.org/C2779989122","wikidata":"https://www.wikidata.org/wiki/Q15889487","display_name":"Perspective distortion","level":3,"score":0.35989999771118164},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.34860000014305115},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3328999876976013},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.3264999985694885},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29499998688697815},{"id":"https://openalex.org/C2777742833","wikidata":"https://www.wikidata.org/wiki/Q1964083","display_name":"Reciprocal","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.25679999589920044}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.06785","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.06785","pdf_url":"https://arxiv.org/pdf/2608.06785","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.06785","doi":"https://doi.org/10.48550/arxiv.2608.06785","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.06785","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.06785","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.06785","pdf_url":"https://arxiv.org/pdf/2608.06785","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7202118306.pdf","grobid_xml":"https://content.openalex.org/works/W7202118306.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2766453196","https://openalex.org/W4392341762","https://openalex.org/W4399837985","https://openalex.org/W6948369276","https://openalex.org/W7167604932"],"related_works":["https://openalex.org/W4414747863","https://openalex.org/W7196931993","https://openalex.org/W4404781657","https://openalex.org/W4416034216","https://openalex.org/W4410774989","https://openalex.org/W7135222002","https://openalex.org/W7127467705","https://openalex.org/W4327644073","https://openalex.org/W4389520267","https://openalex.org/W7169847577"],"abstract_inverted_index":{"Cognitive":[0],"distortion":[1,95,114],"detection":[2],"is":[3],"a":[4,66],"key":[5],"task":[6],"in":[7],"computational":[8],"mental":[9],"health,":[10],"yet":[11],"existing":[12],"approaches":[13],"often":[14],"overlook":[15],"the":[16,38,53,153],"psychological":[17],"structure":[18],"of":[19,37,149],"distorted":[20],"thoughts.":[21],"We":[22,99],"propose":[23],"MTI-GNN":[24,101,116],"(Multi-Perspective":[25],"Triad":[26,70],"Interaction":[27,71],"Graph":[28],"Neural":[29],"Network),":[30],"which":[31,57],"models":[32,73,127],"Beck's":[33],"cognitive":[34,155],"triad---negative":[35],"views":[36],"self,":[39],"world,":[40],"and":[41,63,80,109,122,130],"future---as":[42],"complementary":[43],"perspectives":[44,139],"for":[45],"classification.":[46],"An":[47],"LLM":[48],"decomposes":[49],"each":[50],"utterance":[51],"into":[52],"three":[54,138],"perspectives,":[55],"from":[56,105],"perspective-specific":[58],"similarity":[59],"graphs":[60],"are":[61],"constructed":[62],"encoded":[64],"by":[65],"Multi-Perspective":[67],"GNN.":[68],"A":[69],"module":[72],"cross-perspective":[74],"dependencies":[75],"through":[76],"sequential":[77],"source-conditioned":[78],"updates":[79],"feature-wise":[81],"gating,":[82],"while":[83,142],"Prototype-Guided":[84],"Perspective":[85],"Fusion":[86],"performs":[87],"label-conditioned":[88],"aggregation.":[89],"Label-expanded":[90],"supervision":[91],"incorporates":[92],"all":[93,119,137],"available":[94],"annotations":[96],"during":[97],"training.":[98],"evaluate":[100],"on":[102],"9,764":[103],"samples":[104],"four":[106],"Korean,":[107],"English,":[108],"Chinese":[110],"datasets":[111],"spanning":[112],"ten":[113],"categories.":[115],"significantly":[117],"outperforms":[118],"supervised":[120],"variants":[121],"exceeds":[123],"eight":[124],"prompted":[125],"generative":[126],"under":[128],"zero-shot":[129],"few-shot":[131],"settings.":[132],"Leave-one-perspective-out":[133],"ablations":[134],"show":[135],"that":[136],"contribute":[140],"significantly,":[141],"human":[143],"expert":[144],"evaluation":[145],"provides":[146],"preliminary":[147],"evidence":[148],"their":[150],"alignment":[151],"with":[152],"intended":[154],"dimensions.":[156]},"counts_by_year":[],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2026-08-11T00:00:00"}
