{"id":"https://openalex.org/W4312044727","doi":"https://doi.org/10.1109/tkde.2022.3224228","title":"Multi-Modal Knowledge Graph Construction and Application: A Survey","display_name":"Multi-Modal Knowledge Graph Construction and Application: A Survey","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W4312044727","doi":"https://doi.org/10.1109/tkde.2022.3224228"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3224228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3224228","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Knowledge and Data Engineering","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":"https://openalex.org/A5041560675","display_name":"Xiangru Zhu","orcid":"https://orcid.org/0000-0001-7308-3642"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangru Zhu","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7308-3642","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065529268","display_name":"Zhixu Li","orcid":"https://orcid.org/0000-0003-2355-288X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixu Li","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2355-288X","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114594103","display_name":"Xiaodan Wang","orcid":"https://orcid.org/0000-0002-3721-3494"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodan Wang","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3721-3494","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110915979","display_name":"Xueyao Jiang","orcid":"https://orcid.org/0009-0006-6210-4341"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyao Jiang","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0006-6210-4341","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114594168","display_name":"Penglei Sun","orcid":"https://orcid.org/0009-0005-2290-0944"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Penglei Sun","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0005-2290-0944","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068832926","display_name":"Xuwu Wang","orcid":"https://orcid.org/0000-0003-3363-570X"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuwu Wang","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3363-570X","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090455375","display_name":"Yanghua Xiao","orcid":"https://orcid.org/0000-0001-8403-9591"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanghua Xiao","raw_affiliation_strings":["Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China","Fudan-Aishu Cognitive Intelligence Joint Research Center, and a member of Research Group of Computational and AI Communication at Institute for Global Communications and Integrated Media, Fudan University, China"],"raw_orcid":"https://orcid.org/0000-0001-8403-9591","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan-Aishu Cognitive Intelligence Joint Research Center, and a member of Research Group of Computational and AI Communication at Institute for Global Communications and Integrated Media, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053345000","display_name":"Nicholas Jing Yuan","orcid":"https://orcid.org/0009-0006-3971-4176"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nicholas Jing Yuan","raw_affiliation_strings":["Huawei Cloud &#x0026; AI, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Cloud &#x0026; AI, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":25.6343,"has_fulltext":false,"cited_by_count":272,"citation_normalized_percentile":{"value":0.99699771,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"36","issue":"2","first_page":"715","last_page":"735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9976999759674072,"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":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.776607871055603},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5334653258323669},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4228637218475342},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4188821613788605},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3266293704509735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3028610348701477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776607871055603},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5334653258323669},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4228637218475342},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4188821613788605},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3266293704509735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3028610348701477},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3224228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3224228","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3277427600","display_name":"\u5f00\u653e\u591a\u6a21\u6001\u73af\u5883\u4e0b\u52a8\u6001\u77e5\u8bc6\u56fe\u8c31\u8865\u5168\u4e0e\u66f4\u65b0\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"62072323","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8315936693","display_name":null,"funder_award_id":"62102095","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":180,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W141352744","https://openalex.org/W1512387364","https://openalex.org/W1527575280","https://openalex.org/W1773149199","https://openalex.org/W1861492603","https://openalex.org/W1886771451","https://openalex.org/W1903612395","https://openalex.org/W1916445035","https://openalex.org/W1933349210","https://openalex.org/W1964763677","https://openalex.org/W1969616664","https://openalex.org/W1985867508","https://openalex.org/W1995167642","https://openalex.org/W1998109739","https://openalex.org/W2007972815","https://openalex.org/W2016089260","https://openalex.org/W2022166150","https://openalex.org/W2025605741","https://openalex.org/W2033457004","https://openalex.org/W2046589395","https://openalex.org/W2048012365","https://openalex.org/W2050964073","https://openalex.org/W2080133951","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2100235918","https://openalex.org/W2107019937","https://openalex.org/W2108598243","https://openalex.org/W2110226872","https://openalex.org/W2110988483","https://openalex.org/W2118573581","https://openalex.org/W2138605095","https://openalex.org/W2142900973","https://openalex.org/W2145607950","https://openalex.org/W2169852119","https://openalex.org/W2171595563","https://openalex.org/W2183408436","https://openalex.org/W2184957013","https://openalex.org/W2185175083","https://openalex.org/W2219888463","https://openalex.org/W2234289031","https://openalex.org/W2250342289","https://openalex.org/W2269086507","https://openalex.org/W2277195237","https://openalex.org/W2283196293","https://openalex.org/W2361844076","https://openalex.org/W2423576022","https://openalex.org/W2479423890","https://openalex.org/W2509893387","https://openalex.org/W2520141964","https://openalex.org/W2526174222","https://openalex.org/W2526486375","https://openalex.org/W2563296158","https://openalex.org/W2579549467","https://openalex.org/W2591644541","https://openalex.org/W2607855566","https://openalex.org/W2619383789","https://openalex.org/W2620787630","https://openalex.org/W2745461083","https://openalex.org/W2761572586","https://openalex.org/W2762569911","https://openalex.org/W2765845685","https://openalex.org/W2766863698","https://openalex.org/W2767290858","https://openalex.org/W2776207810","https://openalex.org/W2788647998","https://openalex.org/W2798832674","https://openalex.org/W2807480793","https://openalex.org/W2883311563","https://openalex.org/W2886970679","https://openalex.org/W2901988662","https://openalex.org/W2903529742","https://openalex.org/W2922099396","https://openalex.org/W2938667732","https://openalex.org/W2943911770","https://openalex.org/W2947312908","https://openalex.org/W2948818258","https://openalex.org/W2962737704","https://openalex.org/W2962964995","https://openalex.org/W2963080533","https://openalex.org/W2963095467","https://openalex.org/W2963445828","https://openalex.org/W2963477107","https://openalex.org/W2963514444","https://openalex.org/W2963518342","https://openalex.org/W2963536419","https://openalex.org/W2963606508","https://openalex.org/W2963683498","https://openalex.org/W2963870853","https://openalex.org/W2963938081","https://openalex.org/W2964120214","https://openalex.org/W2964181976","https://openalex.org/W2964303913","https://openalex.org/W2964727037","https://openalex.org/W2965005892","https://openalex.org/W2966317026","https://openalex.org/W2969531873","https://openalex.org/W2972854536","https://openalex.org/W2979200397","https://openalex.org/W2986645868","https://openalex.org/W2998178282","https://openalex.org/W2998506933","https://openalex.org/W3010277541","https://openalex.org/W3013346131","https://openalex.org/W3016001968","https://openalex.org/W3034184697","https://openalex.org/W3034215275","https://openalex.org/W3034689697","https://openalex.org/W3034723486","https://openalex.org/W3035017890","https://openalex.org/W3037575487","https://openalex.org/W3038934320","https://openalex.org/W3044175177","https://openalex.org/W3078516413","https://openalex.org/W3080318437","https://openalex.org/W3087871082","https://openalex.org/W3090449556","https://openalex.org/W3091588028","https://openalex.org/W3092292656","https://openalex.org/W3092867601","https://openalex.org/W3092872885","https://openalex.org/W3092965216","https://openalex.org/W3093789214","https://openalex.org/W3093922720","https://openalex.org/W3096682293","https://openalex.org/W3104609290","https://openalex.org/W3110042533","https://openalex.org/W3120406323","https://openalex.org/W3120491054","https://openalex.org/W3141830881","https://openalex.org/W3148395438","https://openalex.org/W3153469116","https://openalex.org/W3158766660","https://openalex.org/W3159481202","https://openalex.org/W3165439069","https://openalex.org/W3166170409","https://openalex.org/W3168834895","https://openalex.org/W3169528684","https://openalex.org/W3171266048","https://openalex.org/W3171908007","https://openalex.org/W3172845486","https://openalex.org/W3173909648","https://openalex.org/W3177934633","https://openalex.org/W3183226462","https://openalex.org/W3199346755","https://openalex.org/W3207798279","https://openalex.org/W3207972321","https://openalex.org/W3208988339","https://openalex.org/W3212456749","https://openalex.org/W4205157616","https://openalex.org/W4213044064","https://openalex.org/W4226076338","https://openalex.org/W4229024390","https://openalex.org/W4285168370","https://openalex.org/W4288083516","https://openalex.org/W4288083803","https://openalex.org/W4293518017","https://openalex.org/W4312956471","https://openalex.org/W6606482852","https://openalex.org/W6608344535","https://openalex.org/W6631516269","https://openalex.org/W6675354770","https://openalex.org/W6676647902","https://openalex.org/W6678830454","https://openalex.org/W6681184217","https://openalex.org/W6691329670","https://openalex.org/W6743315502","https://openalex.org/W6745470595","https://openalex.org/W6757835916","https://openalex.org/W6761634466","https://openalex.org/W6763311590","https://openalex.org/W6767229288","https://openalex.org/W6775385057","https://openalex.org/W6779483494","https://openalex.org/W6789753369","https://openalex.org/W6791353385","https://openalex.org/W6794915352","https://openalex.org/W6803953248","https://openalex.org/W6839015040"],"related_works":["https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W613940353","https://openalex.org/W2320915480","https://openalex.org/W2362990116","https://openalex.org/W2381300099","https://openalex.org/W2714992399","https://openalex.org/W2383812217","https://openalex.org/W2326515389","https://openalex.org/W2491005386"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"witnessed":[3],"the":[4,13,32,37,51,85,96,102,113],"resurgence":[5],"of":[6,16,21,42,53,59,81,106,112,117],"knowledge":[7,17,23,43],"engineering":[8],"which":[9,30],"is":[10,45],"featured":[11],"by":[12,73],"fast":[14],"growth":[15],"graphs.":[18],"However,":[19],"most":[20],"existing":[22],"graphs":[24,44],"are":[25,62],"represented":[26],"with":[27,84,109,124],"pure":[28],"symbols,":[29],"hurts":[31],"machine's":[33],"capability":[34],"to":[35,129],"understand":[36],"real":[38],"world.":[39],"The":[40,57],"multi-modalization":[41],"an":[46],"inevitable":[47],"key":[48],"step":[49],"towards":[50],"realization":[52],"human-level":[54],"machine":[55],"intelligence.":[56],"results":[58],"this":[60,68,122],"endeavor":[61],"Multi-modal":[63],"Knowledge":[64],"Graphs":[65],"(MMKGs).":[66],"In":[67],"survey":[69,123],"on":[70,87,101],"MMKGs":[71,107],"constructed":[72],"texts":[74],"and":[75,90,99,104,115],"images,":[76],"we":[77],"first":[78],"give":[79],"definitions":[80],"MMKGs,":[82],"followed":[83],"preliminaries":[86],"multi-modal":[88],"tasks":[89],"techniques.":[91],"We":[92,120],"then":[93],"systematically":[94],"review":[95],"challenges,":[97],"progresses":[98],"opportunities":[100],"construction":[103],"application":[105],"respectively,":[108],"detailed":[110],"analyses":[111],"strengths":[114],"weaknesses":[116],"different":[118],"solutions.":[119],"finalize":[121],"open":[125],"research":[126],"problems":[127],"relevant":[128],"MMKGs.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":51},{"year":2025,"cited_by_count":89},{"year":2024,"cited_by_count":68},{"year":2023,"cited_by_count":56},{"year":2022,"cited_by_count":8}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
