{"id":"https://openalex.org/W4416017290","doi":"https://doi.org/10.1145/3746252.3760912","title":"Relation-Sensitive Visual Aggregation Enhances Multimodal Knowledge Graph Completion","display_name":"Relation-Sensitive Visual Aggregation Enhances Multimodal Knowledge Graph Completion","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4416017290","doi":"https://doi.org/10.1145/3746252.3760912"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3760912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3760912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-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":"Qingyu Zhang","orcid":"https://orcid.org/0009-0002-7818-7998"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyu Zhang","raw_affiliation_strings":["Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0002-7818-7998","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112119270","display_name":"Hu Min","orcid":"https://orcid.org/0000-0002-8980-9601"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Hu","raw_affiliation_strings":["Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-8980-9601","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090913238","display_name":"Wenlong Fei","orcid":"https://orcid.org/0009-0000-0789-9053"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Fei","raw_affiliation_strings":["Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0000-0789-9053","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079824167","display_name":"Jiaoyun Yang","orcid":"https://orcid.org/0000-0002-0233-590X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaoyun Yang","raw_affiliation_strings":["Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-0233-590X","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046473942","display_name":"Hongbo Li","orcid":"https://orcid.org/0000-0002-0784-8034"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Li","raw_affiliation_strings":["Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-0784-8034","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15578443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5500","last_page":"5504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.8384000062942505,"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":0.8384000062942505,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.12460000067949295,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.004900000058114529,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6948000192642212},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6272000074386597},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5339000225067139},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5274999737739563},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.39590001106262207},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.32690000534057617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7357000112533569},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6948000192642212},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6272000074386597},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5339000225067139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5296000242233276},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5274999737739563},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35179999470710754},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3018999993801117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.28189998865127563},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2572000026702881}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3760912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3760912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2184957013","https://openalex.org/W2526174222","https://openalex.org/W2728059831","https://openalex.org/W3035625743","https://openalex.org/W3202813375","https://openalex.org/W3207311065","https://openalex.org/W4393159838","https://openalex.org/W4403780544"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"multimodal":[1,18,138],"knowledge":[2,139],"graph":[3],"completion":[4],"methods":[5],"often":[6],"overlook":[7],"triple":[8,25],"correlations":[9,26,127],"between":[10,128],"relations":[11,129],"and":[12,31,35,98,106,130],"images,":[13],"limiting":[14],"the":[15,57,66,74,94,101,117,125,134],"expressiveness":[16],"of":[17,51,96,103,119,137],"embeddings.":[19],"In":[20,88],"this":[21],"paper,":[22],"we":[23],"categorize":[24],"into":[27],"Intra-triple":[28],"Correlations":[29,33],"(IaC)":[30],"Inter-triple":[32],"(IeC),":[34],"propose":[36],"a":[37],"method":[38],"called":[39],"Relation-Sensitive":[40],"Visual":[41,58],"Aggregation":[42,60,77],"(RSVA)":[43],"to":[44],"explicitly":[45,123],"model":[46],"them.":[47],"Specifically,":[48],"RSVA":[49,92],"consists":[50],"two":[52],"modules.":[53],"The":[54,71],"first":[55],"is":[56,73],"Semantic":[59],"Module,":[61,78],"aggregating":[62,82],"visual":[63,83],"features":[64],"for":[65],"central":[67,104],"entity":[68],"considering":[69],"IaC.":[70],"second":[72],"Contextual":[75],"Neighbor":[76],"capturing":[79],"IeC":[80,99],"by":[81],"semantics":[84],"from":[85],"neighboring":[86],"entities.":[87],"link":[89],"prediction":[90],"experiments,":[91],"demonstrates":[93],"effect":[95],"IaC":[97],"on":[100],"embeddings":[102],"entities":[105],"achieves":[107],"improved":[108],"performance":[109],"compared":[110],"with":[111],"previous":[112],"approaches.":[113],"These":[114],"results":[115],"demonstrate":[116],"effectiveness":[118],"RSVA,":[120],"indicating":[121],"that":[122],"modeling":[124],"latent":[126],"images":[131],"can":[132],"enhance":[133],"representational":[135],"capability":[136],"graphs.":[140]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-08T00:00:00"}