{"id":"https://openalex.org/W3120252815","doi":"https://doi.org/10.1007/s13042-020-01259-4","title":"Caps-OWKG: a capsule network model for open-world knowledge graph","display_name":"Caps-OWKG: a capsule network model for open-world knowledge graph","publication_year":2021,"publication_date":"2021-01-04","ids":{"openalex":"https://openalex.org/W3120252815","doi":"https://doi.org/10.1007/s13042-020-01259-4","mag":"3120252815"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-020-01259-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13042-020-01259-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13042-020-01259-4.pdf","source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s13042-020-01259-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100360655","display_name":"Yuhan Wang","orcid":"https://orcid.org/0000-0002-5560-5213"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Wang","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, 410073, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, 410073, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106942630","display_name":"Weidong Xiao","orcid":"https://orcid.org/0000-0002-6957-3769"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Xiao","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, 410073, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, 410073, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060371329","display_name":"Zhen Tan","orcid":"https://orcid.org/0000-0001-8643-4683"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Tan","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, 410073, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, 410073, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014937762","display_name":"Xiang Zhao","orcid":"https://orcid.org/0000-0001-6339-0219"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Zhao","raw_affiliation_strings":["Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, 410073, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-6339-0219","affiliations":[{"raw_affiliation_string":"Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, 410073, Hunan, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014937762"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":3590,"currency":"USD","value_usd":3590},"apc_paid":{"value":3590,"currency":"USD","value_usd":3590},"fwci":2.4707,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.90484006,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":"6","first_page":"1627","last_page":"1637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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":0.9991999864578247,"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/T11719","display_name":"Data Quality and Management","score":0.9675999879837036,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.766285240650177},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6980876922607422},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5807352066040039},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5634713172912598},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5477449893951416},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5109290480613708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45236819982528687},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.421131432056427},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35538655519485474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.766285240650177},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6980876922607422},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5807352066040039},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5634713172912598},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5477449893951416},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5109290480613708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45236819982528687},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.421131432056427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35538655519485474},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13042-020-01259-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13042-020-01259-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13042-020-01259-4.pdf","source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s13042-020-01259-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13042-020-01259-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s13042-020-01259-4.pdf","source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Cybernetics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G3904205681","display_name":null,"funder_award_id":"2019JJ20024","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G5388974864","display_name":"\u7a00\u758f\u6837\u672c\u6761\u4ef6\u4e0b\u7684\u9886\u57df\u77e5\u8bc6\u56fe\u8c31\u83b7\u53d6\u4e0e\u5229\u7528\u7814\u7a76","funder_award_id":"61872446","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5904781070","display_name":null,"funder_award_id":"71971212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6756744912","display_name":null,"funder_award_id":"61902417","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3120252815.pdf","grobid_xml":"https://content.openalex.org/works/W3120252815.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W68132019","https://openalex.org/W205829674","https://openalex.org/W1533230146","https://openalex.org/W2127795553","https://openalex.org/W2145544171","https://openalex.org/W2184957013","https://openalex.org/W2250539671","https://openalex.org/W2283196293","https://openalex.org/W2395611524","https://openalex.org/W2402268235","https://openalex.org/W2499696929","https://openalex.org/W2499811908","https://openalex.org/W2615071493","https://openalex.org/W2617837836","https://openalex.org/W2774837955","https://openalex.org/W2904685725","https://openalex.org/W2950577311","https://openalex.org/W2962739339","https://openalex.org/W2963041663","https://openalex.org/W2963341956","https://openalex.org/W2963703618","https://openalex.org/W2963855739","https://openalex.org/W2964279602","https://openalex.org/W3099387504","https://openalex.org/W4299828299"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2883748392","https://openalex.org/W2808284704","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W2251363251","https://openalex.org/W4206547516","https://openalex.org/W4293236197"],"abstract_inverted_index":{"Abstract":[0],"Knowledge":[1],"graphs":[2,18,47],"are":[3,19,117,146],"typical":[4],"multi-relational":[5],"structures,":[6],"which":[7,78],"is":[8,34],"consisted":[9],"of":[10,62,123,130],"many":[11],"entities":[12,38],"and":[13,22,39,88,101,108,141,151],"relations.":[14],"Nonetheless,":[15],"existing":[16,45],"knowledge":[17,30,46,64,71,94,102],"still":[20],"sparse":[21],"far":[23],"from":[24],"being":[25],"complete.":[26],"To":[27],"refine":[28],"the":[29,60,80,85,98,113,121,128,153],"graphs,":[31],"representation":[32,73],"learning":[33,52,74],"utilized":[35],"to":[36,83,104,119],"embed":[37],"relations":[40],"into":[41],"low-dimensional":[42],"spaces.":[43],"Many":[44],"embedding":[48,107],"models":[49],"focus":[50],"on":[51,132],"latent":[53],"features":[54,91],"in":[55,92],"close-world":[56],"assumption":[57],"but":[58],"omit":[59],"changeable":[61],"each":[63],"graph.In":[65],"this":[66],"paper,":[67],"we":[68],"propose":[69],"a":[70],"graph":[72,103],"model,":[75],"called":[76],"Caps-OWKG,":[77],"leverages":[79],"capsule":[81],"network":[82],"capture":[84],"both":[86,114],"known":[87],"unknown":[89],"triplets":[90],"open-world":[93],"graph.":[95],"It":[96],"combines":[97],"descriptive":[99,106],"text":[100],"get":[105],"structural":[109],"embedding,":[110],"simultaneously.":[111],"Then,":[112],"above":[115],"embeddings":[116],"used":[118],"calculate":[120],"probability":[122],"triplet":[124],"authenticity.":[125],"We":[126],"verify":[127],"performance":[129],"Caps-OWKG":[131],"link":[133],"prediction":[134],"task":[135],"with":[136],"two":[137],"common":[138],"datasets":[139],"FB15k-237-OWE":[140],"DBPedia50k.":[142],"The":[143],"experimental":[144],"results":[145],"better":[147],"than":[148],"other":[149],"baselines,":[150],"achieve":[152],"state-of-the-art":[154],"performance.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
