{"id":"https://openalex.org/W4415406858","doi":"https://doi.org/10.31577/cai_2025_3_717","title":"Knowledge Graph Representation Learning by Text Encoding and Graph Structure","display_name":"Knowledge Graph Representation Learning by Text Encoding and Graph Structure","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415406858","doi":"https://doi.org/10.31577/cai_2025_3_717"},"language":null,"primary_location":{"id":"doi:10.31577/cai_2025_3_717","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2025_3_717","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2025_3_717/1361","source":{"id":"https://openalex.org/S6236348","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4360969452","host_organization_name":"Institute of Informatics","host_organization_lineage":["https://openalex.org/P4360969452"],"host_organization_lineage_names":["Institute of Informatics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2025_3_717/1361","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083291659","display_name":"Song Li","orcid":"https://orcid.org/0000-0002-3239-0504"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Li","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, 150080 Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, 150080 Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083858239","display_name":"C. Zhong","orcid":"https://orcid.org/0009-0001-2803-0194"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyu Zhong","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, 150080 Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, 150080 Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100426765","display_name":"Liping Zhang","orcid":"https://orcid.org/0000-0003-2334-3471"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, 150080 Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, 150080 Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11089782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":"3","first_page":"717","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9764000177383423,"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":0.9764000177383423,"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/text-graph","display_name":"Text graph","score":0.4699999988079071},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4595000147819519},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.44119998812675476},{"id":"https://openalex.org/keywords/graph-property","display_name":"Graph property","score":0.40149998664855957},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.3962000012397766},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.3517000079154968},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.3499000072479248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995999813079834},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4991999864578247},{"id":"https://openalex.org/C66945725","wikidata":"https://www.wikidata.org/wiki/Q18388823","display_name":"Text graph","level":3,"score":0.4699999988079071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4609000086784363},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4595000147819519},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.44119998812675476},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40959998965263367},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.40149998664855957},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.3962000012397766},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3499000072479248},{"id":"https://openalex.org/C17169500","wikidata":"https://www.wikidata.org/wiki/Q3033506","display_name":"Null graph","level":5,"score":0.3416999876499176},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.33000001311302185},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.31839999556541443},{"id":"https://openalex.org/C145580432","wikidata":"https://www.wikidata.org/wiki/Q6497118","display_name":"Lattice graph","level":5,"score":0.2969000041484833},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.27129998803138733}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31577/cai_2025_3_717","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2025_3_717","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2025_3_717/1361","source":{"id":"https://openalex.org/S6236348","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4360969452","host_organization_name":"Institute of Informatics","host_organization_lineage":["https://openalex.org/P4360969452"],"host_organization_lineage_names":["Institute of Informatics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31577/cai_2025_3_717","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2025_3_717","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2025_3_717/1361","source":{"id":"https://openalex.org/S6236348","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4360969452","host_organization_name":"Institute of Informatics","host_organization_lineage":["https://openalex.org/P4360969452"],"host_organization_lineage_names":["Institute of Informatics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4577689320","display_name":"\u8054\u90a6\u5b66\u4e60\u4e2d\u57fa\u4e8e\u6570\u636e\u878d\u5408\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u6570\u636e\u5dee\u5206\u9690\u79c1\u4fdd\u62a4\u7814\u7a76","funder_award_id":"62072136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5828352477","display_name":null,"funder_award_id":"LH2023F031","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G671497247","display_name":null,"funder_award_id":"2020YFB1710200","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"},{"id":"https://openalex.org/G8199206254","display_name":null,"funder_award_id":"2020YFB1710200","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/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415406858.pdf","grobid_xml":"https://content.openalex.org/works/W4415406858.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Knowledge":[0],"graph":[1,15,31,54,73,103,125,143,158,180,189,261],"representation":[2,33,55,61,144,262],"learning":[3,34,145,195],"aims":[4],"to":[5,27,49,67,167,185,199,244],"embed":[6],"entities":[7],"and":[8,44,101,117,123,156,205,215,218,236],"relationships":[9],"into":[10],"low-dimensional":[11],"space":[12],"through":[13,32,170],"knowledge":[14,19,30,53,72,108,142,260],"embedding":[16],"methods.":[17,35],"Because":[18],"graphs":[20],"are":[21,165],"incomplete,":[22],"it":[23],"is":[24,150,183,197],"often":[25],"necessary":[26],"complete":[28],"the":[29,37,50,58,69,77,83,87,95,99,102,107,114,121,124,128,135,176,213,219,224,230,237,245,257],"With":[36],"development":[38],"of":[39,52,63,71,76,82,86,98,106,120,259],"pre-trained":[40,64,153,162],"language":[41,65,154,163],"models,":[42],"more":[43,45],"research":[46],"applies":[47],"them":[48],"field":[51],"learning,":[56],"using":[57],"powerful":[59],"semantic":[60,84,115,131,206],"capabilities":[62],"models":[66,155,164],"improve":[68,256],"performance":[70,258],"embedding.":[74],"Most":[75],"existing":[78],"methods":[79],"make":[80],"use":[81],"information":[85,97,105,116,204],"triple":[88,100,111],"text":[89,171],"but":[90],"do":[91],"not":[92],"fully":[93],"consider":[94],"structural":[96],"structure":[104,112,126,159,190,203],"graph.":[109],"The":[110,248],"reflects":[113,127],"relationship":[118],"pattern":[119],"triple,":[122],"surrounding":[129],"entity's":[130],"features.":[132],"To":[133],"address":[134],"above":[136],"issues,":[137],"this":[138],"paper":[139],"proposes":[140],"a":[141,179,193],"method":[146],"named":[147],"PREGSE,":[148],"which":[149],"based":[151],"on":[152,212,223],"integrates":[157],"information.":[160,191,207],"Firstly,":[161],"employed":[166],"encode":[168],"triplets":[169],"encoding,":[172],"obtaining":[173],"vectors":[174],"for":[175],"triplets.":[177],"Secondly,":[178],"attention":[181],"network":[182],"utilized":[184],"learn":[186,201],"various":[187],"local":[188],"Lastly,":[192],"multi-task":[194],"strategy":[196],"applied":[198],"simultaneously":[200],"triplet":[202],"We":[208],"trained":[209],"our":[210,227,252],"model":[211,228,253],"FB15k-237":[214,225],"WN18RR":[216],"datasets,":[217],"results":[220],"show":[221,250],"that":[222,251],"dataset,":[226],"improved":[229],"MRR":[231],"metric":[232,239],"by":[233,240],"27":[234],"%":[235,242],"Hits@10":[238],"8":[241],"compared":[243],"StAR":[246],"model.":[247],"experiments":[249],"can":[254],"further":[255],"learning.":[263]},"counts_by_year":[],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-22T00:00:00"}