{"id":"https://openalex.org/W4408213186","doi":"https://doi.org/10.1145/3722115","title":"Multi-Modal Sarcasm Detection via Knowledge-Aware Focused Graph Convolutional Networks","display_name":"Multi-Modal Sarcasm Detection via Knowledge-Aware Focused Graph Convolutional Networks","publication_year":2025,"publication_date":"2025-03-07","ids":{"openalex":"https://openalex.org/W4408213186","doi":"https://doi.org/10.1145/3722115"},"language":"en","primary_location":{"id":"doi:10.1145/3722115","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722115","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3722115","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3722115","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107830675","display_name":"X. Zhuang","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingjie Zhuang","raw_affiliation_strings":["Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, China and Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, China","Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, China and Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113981931","display_name":"Fengling Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengling Zhou","raw_affiliation_strings":["Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, China and Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, China","Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, China and Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100701695","display_name":"Zhixin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixin Li","raw_affiliation_strings":["Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, China and Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, China","Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, China"],"affiliations":[{"raw_affiliation_string":"Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, China and Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]},{"raw_affiliation_string":"Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, China","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107830675"],"corresponding_institution_ids":["https://openalex.org/I29739308"],"apc_list":null,"apc_paid":null,"fwci":8.5265,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97573659,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"21","issue":"5","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9952999949455261,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sarcasm","display_name":"Sarcasm","score":0.9155299663543701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8847856521606445},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5713205337524414},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.522818922996521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48028039932250977},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.41564011573791504},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4155784845352173},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35901182889938354},{"id":"https://openalex.org/keywords/irony","display_name":"Irony","score":0.08368712663650513}],"concepts":[{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.9155299663543701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8847856521606445},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5713205337524414},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.522818922996521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48028039932250977},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.41564011573791504},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4155784845352173},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35901182889938354},{"id":"https://openalex.org/C2779975665","wikidata":"https://www.wikidata.org/wiki/Q131361","display_name":"Irony","level":2,"score":0.08368712663650513},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3722115","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722115","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3722115","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3722115","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3722115","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3722115","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4762191740","display_name":null,"funder_award_id":"62276073","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408213186.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W128638292","https://openalex.org/W639708223","https://openalex.org/W1508044906","https://openalex.org/W1583837637","https://openalex.org/W2079735306","https://openalex.org/W2128415447","https://openalex.org/W2186222003","https://openalex.org/W2194775991","https://openalex.org/W2251920663","https://openalex.org/W2489370933","https://openalex.org/W2561529111","https://openalex.org/W2593713917","https://openalex.org/W2599674900","https://openalex.org/W2619383789","https://openalex.org/W2623012778","https://openalex.org/W2745461083","https://openalex.org/W2884585870","https://openalex.org/W2899575547","https://openalex.org/W2913873497","https://openalex.org/W2951937667","https://openalex.org/W2962681323","https://openalex.org/W3035565303","https://openalex.org/W3102065963","https://openalex.org/W3102848065","https://openalex.org/W3174517569","https://openalex.org/W3205552847","https://openalex.org/W3205872166","https://openalex.org/W3207396986","https://openalex.org/W3213643395","https://openalex.org/W4205807230","https://openalex.org/W4214540501","https://openalex.org/W4285247267","https://openalex.org/W4285304773","https://openalex.org/W4311057028","https://openalex.org/W4365799947","https://openalex.org/W4385573263","https://openalex.org/W4386076128","https://openalex.org/W4389047389","https://openalex.org/W4402308682","https://openalex.org/W4403577524","https://openalex.org/W4403577914","https://openalex.org/W4404412858","https://openalex.org/W4405957019","https://openalex.org/W4406658313","https://openalex.org/W4406797526","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2900446122","https://openalex.org/W3037315328","https://openalex.org/W4312684429","https://openalex.org/W3018705632","https://openalex.org/W3101138303","https://openalex.org/W2349372848","https://openalex.org/W2753593955","https://openalex.org/W2907442881","https://openalex.org/W3018024369","https://openalex.org/W3207396986"],"abstract_inverted_index":{"Multi-Modal":[0],"Sarcasm":[1],"Detection":[2],"(MSD)":[3],"aims":[4],"to":[5,10,50,67,117,125,139],"combine":[6],"multiple":[7],"modal":[8,37],"information":[9],"identify":[11],"implicit":[12,22],"sarcastic":[13,38,55],"sentiment.":[14],"However,":[15],"the":[16,30,44,104,112,120,141,156,167,170,174],"significance":[17],"of":[18,99,123,173],"commonsense":[19,81],"knowledge":[20],"in":[21,144],"emotion":[23],"recognition":[24],"has":[25],"been":[26],"frequently":[27],"overlooked.":[28],"Additionally,":[29],"important":[31,126],"visual":[32,93],"emotions":[33],"associated":[34],"with":[35,108,111],"textual":[36,97],"cues":[39],"are":[40],"typically":[41],"dispersed":[42],"throughout":[43],"entire":[45],"image,":[46],"making":[47],"it":[48,161],"difficult":[49],"accurately":[51],"focus":[52],"on":[53,80,162],"crucial":[54],"features.":[56,127],"Therefore,":[57],"we":[58,72,102,129,154],"propose":[59],"a":[60,75,131],"Knowledge-Aware":[61],"Focused":[62],"Graph":[63],"Convolutional":[64,113],"Networks":[65],"(KFGC-Net)":[66],"tackle":[68],"these":[69],"issues.":[70],"Specifically,":[71],"first":[73],"construct":[74],"cross-modal":[76],"knowledge-aware":[77],"graph":[78,87],"based":[79],"concepts":[82],"for":[83,119,147],"each":[84,145],"instance.":[85],"This":[86],"explicitly":[88],"establishes":[89],"connections":[90],"between":[91],"significant":[92],"sentiments":[94],"and":[95,166],"relevant":[96],"tokens":[98],"knowledge.":[100],"Next,":[101],"integrate":[103],"transformer":[105],"encoder":[106],"optimized":[107],"convolutional":[109],"operations":[110],"Block":[114],"Attention":[115],"Module":[116],"compensate":[118],"model\u2019s":[121],"lack":[122],"attention":[124],"Finally,":[128],"design":[130],"Global":[132],"Modality":[133],"Synergistic":[134],"Fusion":[135],"(GMSF)":[136],"block,":[137],"aiming":[138],"model":[140],"global":[142,149],"relationships":[143],"modality":[146],"complementing":[148],"sarcasm":[150],"detection":[151],"result.":[152],"Notably,":[153],"analyze":[155],"proposed":[157],"framework":[158],"by":[159],"testing":[160],"several":[163],"benchmark":[164],"datasets,":[165],"results":[168],"outperform":[169],"existing":[171],"state":[172],"art.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}