{"id":"https://openalex.org/W7138403440","doi":"https://doi.org/10.1609/aaai.v40i17.38516","title":"Towards Multimodal Continual Knowledge Embedding with Modality Forgetting Modulation","display_name":"Towards Multimodal Continual Knowledge Embedding with Modality Forgetting Modulation","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138403440","doi":"https://doi.org/10.1609/aaai.v40i17.38516"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i17.38516","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38516","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i17.38516","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129668490","display_name":"Xiaowen Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaowen Jiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129679596","display_name":"Jing Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057884197","display_name":"Shundong Yang","orcid":"https://orcid.org/0009-0007-4454-9889"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ShunDong Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129649805","display_name":"Yuan Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan Gao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129729375","display_name":"Xinfa Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinfa Jiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129663092","display_name":"Laurence Tianruo Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laurence Tianruo Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113978259","display_name":"Jieming Yang","orcid":"https://orcid.org/0000-0001-9584-2160"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jieming Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51628126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"17","first_page":"14946","last_page":"14954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.621399998664856,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.621399998664856,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.2851000130176544,"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/T10028","display_name":"Topic Modeling","score":0.040800001472234726,"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/forgetting","display_name":"Forgetting","score":0.8770999908447266},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6259999871253967},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5400000214576721},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4056999981403351},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.39750000834465027},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.38600000739097595},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.38190001249313354},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.34880000352859497}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.8770999908447266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.715499997138977},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6259999871253967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5927000045776367},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5400000214576721},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4056999981403351},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39809998869895935},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34310001134872437},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.33090001344680786},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C516976414","wikidata":"https://www.wikidata.org/wiki/Q1606582","display_name":"Nasalization","level":3,"score":0.27149999141693115},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2703999876976013}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i17.38516","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38516","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/38516","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/38516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i17.38516","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38516","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2131302496","display_name":null,"funder_award_id":"62302131","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,113],"continuous":[1],"emergence":[2],"of":[3,15,118,171],"new":[4,42,89,161,166],"entities,":[5],"relations,":[6],"triples,":[7],"and":[8,101,129,141],"multimodal":[9,16,62,74,109,121,126,130],"information":[10],"drives":[11],"the":[12],"dynamic":[13],"evolution":[14],"knowledge":[17,43,122,158,167],"graph":[18],"(MMKG).":[19],"However,":[20],"existing":[21,72,135],"MMKG":[22,35,136,142],"embedding":[23,75],"models":[24],"follow":[25],"a":[26,61,108],"static":[27,73],"setting,":[28],"where":[29],"training":[30],"from":[31],"scratch":[32],"for":[33,68],"growing":[34,69],"wastes":[36],"learned":[37,120],"knowledge,":[38,162],"while":[39,168],"fine-tuning":[40],"on":[41,79],"easily":[44],"leads":[45],"to":[46,86,88,165],"catastrophic":[47,81,95],"forgetting,":[48],"severely":[49],"limiting":[50],"their":[51],"applicability":[52],"in":[53],"real-world":[54],"scenarios.":[55],"To":[56],"address":[57],"this,":[58],"we":[59],"propose":[60],"continual":[63,139],"representation":[64],"learning":[65,160],"framework":[66],"(MoFot)":[67],"MMKG.":[70],"Unlike":[71],"methods,":[76],"MoFot":[77,92,133,149],"focuses":[78],"alleviating":[80],"forgetting":[82,96,103,153,170],"rather":[83],"than":[84],"retraining":[85],"adapt":[87],"knowledge.":[90,173],"Specifically,":[91],"effectively":[93],"mitigates":[94],"caused":[97],"by":[98,159],"parameter":[99],"updates":[100],"differing":[102],"rates":[104],"across":[105,123],"modalities":[106],"through":[107,125],"collaborative":[110],"modulation":[111,128],"mechanism.":[112],"mechanism":[114],"ensures":[115],"consistent":[116],"retention":[117],"previously":[119],"snapshots":[124],"weight":[127],"feature":[131],"modulation.":[132],"outperforms":[134],"embedding,":[137],"KG":[138],"learning,":[140],"inductive":[143],"models.":[144],"Experimental":[145],"results":[146],"demonstrate":[147],"that":[148],"not":[150],"only":[151],"avoids":[152],"but":[154],"also":[155],"enhances":[156],"old":[157,172],"achieving":[163],"adaptation":[164],"mitigating":[169]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2026-03-18T00:00:00"}
