{"id":"https://openalex.org/W4387843736","doi":"https://doi.org/10.3390/e25101472","title":"Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding","display_name":"Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387843736","doi":"https://doi.org/10.3390/e25101472","pmid":"https://pubmed.ncbi.nlm.nih.gov/37895593"},"language":"en","primary_location":{"id":"doi:10.3390/e25101472","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25101472","pdf_url":"https://www.mdpi.com/1099-4300/25/10/1472/pdf?version=1697879142","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/10/1472/pdf?version=1697879142","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072389850","display_name":"Qinglang Guo","orcid":"https://orcid.org/0000-0002-1552-9033"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglang Guo","raw_affiliation_strings":["National Engineering Research Center for Public Safety Risk Perception and Control by Big Data (RPP), CETC Academy of Electronics and Information Technology Group Co., Ltd., China Academic of Electronics and Information Technology, Beijing 100041, China","School of Cyber Science and Technology, University of Science and Technology of China, Heifei 230027, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Public Safety Risk Perception and Control by Big Data (RPP), CETC Academy of Electronics and Information Technology Group Co., Ltd., China Academic of Electronics and Information Technology, Beijing 100041, China","institution_ids":["https://openalex.org/I4210130112"]},{"raw_affiliation_string":"School of Cyber Science and Technology, University of Science and Technology of China, Heifei 230027, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051983841","display_name":"Yong Liao","orcid":"https://orcid.org/0000-0001-6403-0557"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Liao","raw_affiliation_strings":["School of Cyber Science and Technology, University of Science and Technology of China, Heifei 230027, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, University of Science and Technology of China, Heifei 230027, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356635","display_name":"Zhe Li","orcid":"https://orcid.org/0000-0002-0519-7434"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhe Li","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101949005","display_name":"Hui Lin","orcid":"https://orcid.org/0000-0002-1982-4427"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Lin","raw_affiliation_strings":["National Engineering Research Center for Public Safety Risk Perception and Control by Big Data (RPP), CETC Academy of Electronics and Information Technology Group Co., Ltd., China Academic of Electronics and Information Technology, Beijing 100041, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Public Safety Risk Perception and Control by Big Data (RPP), CETC Academy of Electronics and Information Technology Group Co., Ltd., China Academic of Electronics and Information Technology, Beijing 100041, China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059581731","display_name":"Shenglin Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenglin Liang","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi\u2019an 710071, China","School of Telecommunications Engineering, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051983841"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.3516,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6683759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"25","issue":"10","first_page":"1472","last_page":"1472"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9988999962806702,"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":0.9988999962806702,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9440000057220459,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.916700005531311,"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":0.7274261116981506},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7254815101623535},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5517107844352722},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.5285112857818604},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47550565004348755},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4713656008243561},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4699077010154724},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4408608675003052},{"id":"https://openalex.org/keywords/extant-taxon","display_name":"Extant taxon","score":0.4326361417770386},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4231332540512085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39238208532333374},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37306445837020874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.367376446723938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7274261116981506},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7254815101623535},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5517107844352722},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.5285112857818604},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47550565004348755},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4713656008243561},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4699077010154724},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4408608675003052},{"id":"https://openalex.org/C178300618","wikidata":"https://www.wikidata.org/wiki/Q1898509","display_name":"Extant taxon","level":2,"score":0.4326361417770386},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4231332540512085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39238208532333374},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37306445837020874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.367376446723938},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e25101472","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25101472","pdf_url":"https://www.mdpi.com/1099-4300/25/10/1472/pdf?version=1697879142","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:37895593","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37895593","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/108803","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/108803","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/108803/1/entropy-25-01472-v2.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal/Magazine Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10606879","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10606879","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10606879/pdf/entropy-25-01472.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:ac313980e27247bcad1df17618218403","is_oa":true,"landing_page_url":"https://doaj.org/article/ac313980e27247bcad1df17618218403","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 25, Iss 10, p 1472 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/e25101472","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25101472","pdf_url":"https://www.mdpi.com/1099-4300/25/10/1472/pdf?version=1697879142","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G175089312","display_name":null,"funder_award_id":"U20B2047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6424503130","display_name":null,"funder_award_id":"U20B204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6624196571","display_name":null,"funder_award_id":"2021YFC","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8217587543","display_name":null,"funder_award_id":"2021YFC3300500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387843736.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2127795553","https://openalex.org/W2604314403","https://openalex.org/W2724395316","https://openalex.org/W2728059831","https://openalex.org/W2759136286","https://openalex.org/W2946948417","https://openalex.org/W2949972983","https://openalex.org/W2998313947","https://openalex.org/W3003507729","https://openalex.org/W3004621088","https://openalex.org/W3048717973","https://openalex.org/W3080456792","https://openalex.org/W3082550533","https://openalex.org/W3092801288","https://openalex.org/W3093579226","https://openalex.org/W3097030450","https://openalex.org/W3106169611","https://openalex.org/W3120856336","https://openalex.org/W3121059826","https://openalex.org/W3138149011","https://openalex.org/W4210907452","https://openalex.org/W4221160815","https://openalex.org/W4283323543","https://openalex.org/W4285166467","https://openalex.org/W4296143727","https://openalex.org/W4300693963","https://openalex.org/W4306317352","https://openalex.org/W4308620576","https://openalex.org/W4309625848","https://openalex.org/W4310456519","https://openalex.org/W4310790298","https://openalex.org/W4312443924","https://openalex.org/W4313423347","https://openalex.org/W4361218343","https://openalex.org/W4364377616","https://openalex.org/W4378389707","https://openalex.org/W4383899689","https://openalex.org/W4390100686","https://openalex.org/W6737547214"],"related_works":["https://openalex.org/W3016239368","https://openalex.org/W2402755139","https://openalex.org/W4249944690","https://openalex.org/W2353808877","https://openalex.org/W414826439","https://openalex.org/W2329500892","https://openalex.org/W1530876234","https://openalex.org/W2807827247","https://openalex.org/W28991112","https://openalex.org/W2067165129"],"abstract_inverted_index":{"Link":[0],"prediction":[1,146,168],"remains":[2],"paramount":[3],"in":[4,36,84,164],"knowledge":[5,19],"graph":[6,20,60],"embedding":[7,87],"(KGE),":[8],"aiming":[9],"to":[10,68,122,181],"discern":[11],"obscured":[12],"or":[13],"non-manifest":[14],"relationships":[15],"within":[16],"a":[17,51,102],"given":[18],"(KG).":[21],"Despite":[22],"the":[23,42,77,80,90,106,112,120,124,137,151],"critical":[24],"nature":[25],"of":[26,38,44,79,108,139,160],"this":[27,161],"endeavor,":[28],"contemporary":[29],"methodologies":[30,169],"grapple":[31],"with":[32,58,119,130,171],"notable":[33],"constraints,":[34],"predominantly":[35],"terms":[37],"computational":[39],"overhead":[40],"and":[41,70,94,127,154,174],"intricacy":[43],"encapsulating":[45],"multifaceted":[46],"relationships.":[47],"This":[48],"paper":[49],"introduces":[50],"sophisticated":[52],"approach":[53],"that":[54],"amalgamates":[55],"convolutional":[56,81,113],"operators":[57],"pertinent":[59,67],"structural":[61],"information.":[62],"By":[63],"meticulously":[64],"integrating":[65],"information":[66],"entities":[69,93],"their":[71,95,131],"immediate":[72],"relational":[73],"neighbors,":[74],"we":[75],"enhance":[76],"performance":[78],"model,":[82],"culminating":[83],"an":[85],"averaged":[86],"ensuing":[88],"from":[89],"convolution":[91],"across":[92,150],"proximal":[96],"nodes.":[97],"Significantly,":[98],"our":[99,140],"methodology":[100],"presents":[101],"distinctive":[103],"avenue,":[104],"facilitating":[105],"inclusion":[107],"edge-specific":[109],"data":[110],"into":[111],"model's":[114,125],"input,":[115],"thus":[116],"endowing":[117],"users":[118],"latitude":[121],"calibrate":[123],"architecture":[126],"parameters":[128],"congruent":[129],"specific":[132],"dataset.":[133],"Empirical":[134],"evaluations":[135],"underscore":[136],"ascendancy":[138],"proposition":[141],"over":[142],"extant":[143],"convolution-based":[144],"link":[145,167],"benchmarks,":[147],"particularly":[148],"evident":[149],"FB15k,":[152],"WN18,":[153],"YAGO3-10":[155],"datasets.":[156],"The":[157],"primary":[158],"objective":[159],"research":[162],"lies":[163],"forging":[165],"KGE":[166],"imbued":[170],"heightened":[172],"efficiency":[173],"adeptness,":[175],"thereby":[176],"addressing":[177],"salient":[178],"challenges":[179],"inherent":[180],"real-world":[182],"applications.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}