{"id":"https://openalex.org/W4406611646","doi":"https://doi.org/10.1109/smc54092.2024.10831590","title":"SIKGC: Structural Information Prompt Based Knowledge Graph Completion with Large Language Models","display_name":"SIKGC: Structural Information Prompt Based Knowledge Graph Completion with Large Language Models","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406611646","doi":"https://doi.org/10.1109/smc54092.2024.10831590"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10831590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":"https://openalex.org/A5055304040","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-1444-5062"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051863970","display_name":"Jingguo Ge","orcid":"https://orcid.org/0000-0002-6648-324X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingguo Ge","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085010059","display_name":"Weihua Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094602","display_name":"Tobacco Research Institute","ror":"https://ror.org/0099xbw16","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094602","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Feng","raw_affiliation_strings":["Zhengzhou Tobacco Research Institute of CNTC,Zhengzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhengzhou Tobacco Research Institute of CNTC,Zhengzhou,China","institution_ids":["https://openalex.org/I4210094602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100616189","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2839-8693"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Cyberspace Security Defense,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Cyberspace Security Defense,Beijing,China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065586298","display_name":"Liangxiong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangxiong Li","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Cyberspace Security Defense,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Cyberspace Security Defense,Beijing,China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021066087","display_name":"Bingzhen Wu","orcid":"https://orcid.org/0009-0006-7267-839X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingzhen Wu","raw_affiliation_strings":["Chinese Academy of Sciences,Key Laboratory of Cyberspace Security Defense,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Key Laboratory of Cyberspace Security Defense,Beijing,China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055304040"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.3862,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71217421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1116","last_page":"1123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9961000084877014,"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/T10028","display_name":"Topic Modeling","score":0.9961000084877014,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9955000281333923,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9807000160217285,"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/computer-science","display_name":"Computer science","score":0.7962833642959595},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5314475893974304},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45340484380722046},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.394050657749176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36926355957984924},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3240112364292145},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2625453770160675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962833642959595},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5314475893974304},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45340484380722046},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.394050657749176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36926355957984924},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3240112364292145},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2625453770160675}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10831590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":56,"referenced_works":["https://openalex.org/W804133461","https://openalex.org/W2081580037","https://openalex.org/W2094728533","https://openalex.org/W2115733720","https://openalex.org/W2184957013","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2433281745","https://openalex.org/W2509893387","https://openalex.org/W2556343638","https://openalex.org/W2584356431","https://openalex.org/W2728059831","https://openalex.org/W2776054229","https://openalex.org/W2798651446","https://openalex.org/W2803609569","https://openalex.org/W2888677580","https://openalex.org/W2891112820","https://openalex.org/W2891820987","https://openalex.org/W2914592219","https://openalex.org/W2970476646","https://openalex.org/W2978456023","https://openalex.org/W2997738974","https://openalex.org/W3003507729","https://openalex.org/W3094861998","https://openalex.org/W3117339789","https://openalex.org/W3174770825","https://openalex.org/W3197064582","https://openalex.org/W4221021831","https://openalex.org/W4221160815","https://openalex.org/W4221161928","https://openalex.org/W4252707176","https://openalex.org/W4283516267","https://openalex.org/W4285261975","https://openalex.org/W4290948420","https://openalex.org/W4388486515","https://openalex.org/W6631964550","https://openalex.org/W6678830454","https://openalex.org/W6678846912","https://openalex.org/W6690457987","https://openalex.org/W6697154816","https://openalex.org/W6718112784","https://openalex.org/W6734023787","https://openalex.org/W6755207826","https://openalex.org/W6755941984","https://openalex.org/W6767111925","https://openalex.org/W6767905578","https://openalex.org/W6773645786","https://openalex.org/W6781291478","https://openalex.org/W6790003725","https://openalex.org/W6798205730","https://openalex.org/W6802386650","https://openalex.org/W6839807890","https://openalex.org/W6850625674","https://openalex.org/W6855947210","https://openalex.org/W6856398428","https://openalex.org/W6858522248"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W2951359407","https://openalex.org/W4376623224","https://openalex.org/W4387849428","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Knowledge":[0,45],"Graph":[1,46],"Completion":[2,47],"(KGC)":[3],"aims":[4],"to":[5,57],"enrich":[6],"and":[7,85,100,129,157],"complete":[8],"the":[9,26,32,53,59,67,70,74,80,102,116,124,140],"knowledge":[10,30,33,60,71,126],"graph":[11,61,72],"by":[12],"discovering":[13],"missing":[14],"information":[15,55,88],"from":[16],"existing":[17,21],"fact":[18],"triples.":[19],"However,":[20],"KGC":[22,155],"methods":[23,122],"often":[24],"overlook":[25],"utilization":[27],"of":[28,76,82],"structured":[29],"within":[31],"base.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38,65,92],"propose":[39],"a":[40],"novel":[41],"Large":[42],"Language":[43],"Models-based":[44],"framework,":[48],"called":[49],"SIKGC,":[50],"which":[51],"builds":[52],"structural":[54,87],"prompt":[56],"assist":[58],"completion":[62,127],"tasks.":[63,106],"Specifically,":[64],"arrange":[66],"triples":[68],"in":[69,132],"as":[73,89,104],"sequences":[75],"text.":[77],"By":[78],"fusing":[79],"descriptions":[81],"entities,":[83],"relations":[84],"their":[86,154],"task-aware":[90],"prompts,":[91],"input":[93],"such":[94],"prompts":[95],"into":[96],"large":[97,142],"language":[98,143],"models":[99,144],"regard":[101],"responses":[103],"prediction":[105],"The":[107],"experimental":[108],"results":[109],"on":[110],"various":[111],"public":[112],"datasets":[113],"show":[114],"that":[115,138],"proposed":[117],"method":[118],"outperforms":[119,159],"all":[120],"baseline":[121],"for":[123],"three":[125],"tasks":[128],"attains":[130],"state-of-the-art":[131],"triple":[133],"classification.":[134],"We":[135],"also":[136],"demonstrate":[137],"fine-tuning":[139],"smaller":[141],"(e.g.,":[145],"Baichuan2-13B,":[146],"LLaMA2-13B,":[147],"ChatGLM3-6B)":[148],"with":[149],"relevant":[150],"data":[151],"markedly":[152],"enhances":[153],"capabilities":[156],"significantly":[158],"GPT-4.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
