{"id":"https://openalex.org/W6922080400","doi":"https://doi.org/10.1109/lsp.2025.3588084","title":"Sign-Aware Graph Learning Framework for Stance Detection","display_name":"Sign-Aware Graph Learning Framework for Stance Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W6922080400","doi":"https://doi.org/10.1109/lsp.2025.3588084"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3588084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3588084","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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":null,"display_name":"Chao Meng","orcid":"https://orcid.org/0000-0003-3941-9944"},"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":"Chao Meng","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-3941-9944","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hongli Zhang","orcid":"https://orcid.org/0000-0002-8167-7106"},"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":"Hongli Zhang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-8167-7106","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gongzhu Yin","orcid":"https://orcid.org/0000-0002-8251-742X"},"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":"Gongzhu Yin","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-8251-742X","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Gao","orcid":"https://orcid.org/0000-0003-4310-2288"},"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":"Yang Gao","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-4310-2288","affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":null,"display_name":"Binxing Fang","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":"Binxing Fang","raw_affiliation_strings":["Faculty of Computing, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing, Harbin Institute of Technology, Harbin, 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":23.4225,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.99107959,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"32","issue":null,"first_page":"2928","last_page":"2932"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13332","display_name":"Historical Studies on Reproduction, Gender, Health, and Societal Changes","score":0.02889999933540821,"subfield":{"id":"https://openalex.org/subfields/1202","display_name":"History"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13332","display_name":"Historical Studies on Reproduction, Gender, Health, and Societal Changes","score":0.02889999933540821,"subfield":{"id":"https://openalex.org/subfields/1202","display_name":"History"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13212","display_name":"German Social Sciences and History","score":0.026599999517202377,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13275","display_name":"Medical and Health Sciences Research","score":0.025699999183416367,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational 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/graph","display_name":"Graph","score":0.6381000280380249},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5123999714851379},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41780000925064087},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.3953000009059906},{"id":"https://openalex.org/keywords/signed-graph","display_name":"Signed graph","score":0.37860000133514404},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.358599990606308},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.35850000381469727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7638999819755554},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6381000280380249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5600000023841858},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5123999714851379},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4487999975681305},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41780000925064087},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4065000116825104},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C2779773260","wikidata":"https://www.wikidata.org/wiki/Q11246292","display_name":"Signed graph","level":3,"score":0.37860000133514404},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2831000089645386},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.26910001039505005},{"id":"https://openalex.org/C2776289891","wikidata":"https://www.wikidata.org/wiki/Q1931511","display_name":"Neglect","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3588084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3588084","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G434965388","display_name":null,"funder_award_id":"LH2023F018","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G4389694176","display_name":null,"funder_award_id":"LH2023F018","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2460159515","https://openalex.org/W2604314403","https://openalex.org/W2767329425","https://openalex.org/W2887092413","https://openalex.org/W2911286998","https://openalex.org/W2973140148","https://openalex.org/W3012871709","https://openalex.org/W3033693036","https://openalex.org/W3039695075","https://openalex.org/W3086641547","https://openalex.org/W3166740777","https://openalex.org/W3173991475","https://openalex.org/W3175507592","https://openalex.org/W3187966659","https://openalex.org/W3197022418","https://openalex.org/W4205277237","https://openalex.org/W4224919436","https://openalex.org/W4226507113","https://openalex.org/W4281706128","https://openalex.org/W4385570260","https://openalex.org/W4391305386","https://openalex.org/W4392796768","https://openalex.org/W4392909948","https://openalex.org/W4393972734","https://openalex.org/W4399205137","https://openalex.org/W4404641739","https://openalex.org/W4410740633","https://openalex.org/W6636510571","https://openalex.org/W6726873649","https://openalex.org/W6745537798","https://openalex.org/W6753084064"],"related_works":[],"abstract_inverted_index":{"Stance":[0],"detection":[1,24,70],"aims":[2],"to":[3,54],"identify":[4],"individuals'":[5],"attitudes":[6],"toward":[7],"a":[8,62,73,79],"specific":[9],"target.":[10],"The":[11],"signs":[12,33],"of":[13,34,123],"links":[14,35,91],"are":[15,36],"beneficial":[16],"in":[17,40],"various":[18],"graph-related":[19],"tasks.":[20],"However,":[21],"existing":[22],"stance":[23,69,97],"methods":[25,52],"neglect":[26],"this":[27,55,58],"information.":[28,102],"This":[29],"is":[30],"because":[31],"the":[32,121],"not":[37],"explicitly":[38],"provided":[39],"many":[41],"real-world":[42,129],"social":[43],"networks,":[44],"which":[45],"makes":[46],"current":[47],"signed":[48,90,108,124],"network":[49],"representation":[50],"learning":[51],"inapplicable":[53],"scenario.":[56],"In":[57],"work,":[59],"we":[60],"propose":[61],"Sign-Aware":[63],"Graph":[64,75,82],"Learning":[65],"framework":[66],"(SAGL)":[67],"for":[68],"by":[71,95,116],"innovating":[72],"Sign-Inferred":[74],"Auto-Encoder":[76],"(SIGAE)":[77],"and":[78,88,99,112,118],"Balance-Infused":[80],"Signed":[81],"Attention":[83],"Network":[84],"(BSGAN).":[85],"SIGAE":[86],"infers":[87],"generates":[89],"from":[92],"unsigned":[93],"networks":[94,111],"exploiting":[96],"labels":[98],"underlying":[100],"structure":[101],"BSGAN":[103],"introduces":[104],"balance":[105],"theory":[106],"into":[107],"graph":[109],"attention":[110],"refines":[113],"node":[114],"representations":[115],"capturing":[117],"dynamically":[119],"adjusting":[120],"influence":[122],"links.":[125],"Extensive":[126],"experiments":[127],"on":[128],"datasets":[130],"demonstrate":[131],"that":[132],"SAGL":[133],"significantly":[134],"outperforms":[135],"competitive":[136],"baselines.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
