{"id":"https://openalex.org/W4401212737","doi":"https://doi.org/10.1145/3653876.3653909","title":"MTKGCformer: A Multi-train Transformer-based Representation Learning for Knowledge Graph Completion task","display_name":"MTKGCformer: A Multi-train Transformer-based Representation Learning for Knowledge Graph Completion task","publication_year":2024,"publication_date":"2024-02-23","ids":{"openalex":"https://openalex.org/W4401212737","doi":"https://doi.org/10.1145/3653876.3653909"},"language":"en","primary_location":{"id":"doi:10.1145/3653876.3653909","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653876.3653909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 8th International Conference on Digital Signal Processing","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/A5044404549","display_name":"Bowen Deng","orcid":"https://orcid.org/0009-0008-0170-5674"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bowen Deng","raw_affiliation_strings":["University of Electronic Science and Technology of China, School of Computer Science and Engineering(School of Cyber Security), China"],"raw_orcid":"https://orcid.org/0009-0008-0170-5674","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, School of Computer Science and Engineering(School of Cyber Security), China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100755309","display_name":"Ming Sun","orcid":"https://orcid.org/0000-0002-0762-687X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Sun","raw_affiliation_strings":["University of Electronic Science and Technology of China, School of Computer Science and Engineering(School of Cyber Security), China"],"raw_orcid":"https://orcid.org/0000-0002-0762-687X","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, School of Computer Science and Engineering(School of Cyber Security), China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044404549"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09952779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"219","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9933000206947327,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9822999835014343,"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":0.7862117886543274},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.623227059841156},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48415499925613403},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4815711975097656},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42994609475135803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4216385781764984},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35284286737442017},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2170604169368744},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08819648623466492},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07596105337142944},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07073232531547546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7862117886543274},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.623227059841156},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48415499925613403},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4815711975097656},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42994609475135803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4216385781764984},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35284286737442017},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2170604169368744},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08819648623466492},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07596105337142944},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07073232531547546},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653876.3653909","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653876.3653909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 8th International Conference on Digital Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2094728533","https://openalex.org/W2250184916","https://openalex.org/W2604314403","https://openalex.org/W2728059831","https://openalex.org/W2908230750","https://openalex.org/W2945623882","https://openalex.org/W2998231212","https://openalex.org/W3012871709","https://openalex.org/W3082429057","https://openalex.org/W3120491054","https://openalex.org/W3130909864","https://openalex.org/W3155001903","https://openalex.org/W4306798402"],"related_works":["https://openalex.org/W4389443772","https://openalex.org/W2548721895","https://openalex.org/W2373456246","https://openalex.org/W4310420093","https://openalex.org/W2013265273","https://openalex.org/W4238809000","https://openalex.org/W2786646446","https://openalex.org/W2312871963","https://openalex.org/W3154635860","https://openalex.org/W2054026175"],"abstract_inverted_index":{"Knowledge":[0,18],"graphs,":[1],"extensively":[2],"applied":[3],"in":[4,40],"various":[5],"sectors":[6],"like":[7],"industry":[8],"and":[9,25,46,69,102,105,113],"science,":[10],"face":[11],"limitations":[12],"due":[13],"to":[14,59],"missing":[15],"instance":[16],"facts.":[17,34],"graph":[19,67,73,87,92,98],"completion":[20,68,93],"(KGC),":[21],"encompassing":[22],"link":[23],"prediction":[24],"relation":[26],"prediction,":[27],"addresses":[28],"information":[29],"incompleteness":[30],"by":[31,50,100],"inferring":[32],"unknown":[33],"Transformer":[35],"has":[36],"achieved":[37],"great":[38],"results":[39],"fields":[41],"such":[42],"as":[43],"computer":[44],"vision":[45],"natural":[47],"language":[48],"processing":[49],"virtue":[51],"of":[52],"its":[53],"global":[54,62],"attention":[55,63],"mechanism,":[56],"but":[57],"how":[58],"introduce":[60],"the":[61,71,111],"mechanism":[64],"into":[65],"knowledge":[66,91,97],"ensure":[70],"structural":[72],"features,":[74],"is":[75],"still":[76],"an":[77],"unsolved":[78],"problem.":[79],"Therefore,":[80],"we":[81],"propose":[82],"MTKGCformer:":[83],"a":[84],"multi-train":[85],"transformer-based":[86],"neural":[88],"network":[89],"for":[90],"task.":[94],"MTKGCformer":[95,130],"improves":[96],"representation":[99],"extracting":[101],"serializing":[103],"subgraphs,":[104],"through":[106],"masked":[107],"modeling":[108],"training":[109,119],"on":[110,123],"relations":[112],"entities.":[114],"Benefiting":[115],"from":[116],"our":[117],"proposed":[118],"programs,":[120],"extensive":[121],"experiments":[122],"two":[124],"benchmark":[125],"KGC":[126],"datasets":[127],"show":[128],"that":[129],"achieves":[131],"competitive":[132],"performance.":[133]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
