{"id":"https://openalex.org/W4313528150","doi":"https://doi.org/10.1080/09540091.2022.2161480","title":"Knowledge reasoning with multiple relational paths","display_name":"Knowledge reasoning with multiple relational paths","publication_year":2023,"publication_date":"2023-01-03","ids":{"openalex":"https://openalex.org/W4313528150","doi":"https://doi.org/10.1080/09540091.2022.2161480"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2022.2161480","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1080/09540091.2022.2161480","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.1080/09540091.2022.2161480","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100341892","display_name":"Hang Su","orcid":"https://orcid.org/0000-0002-8477-514X"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hang Su","raw_affiliation_strings":["College of Engineering and Computer Science, Australian National University, Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072333505","display_name":"Huangcan Li","orcid":"https://orcid.org/0000-0003-1409-9219"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Huangcan Li","raw_affiliation_strings":["China Futures Market Monitoring Center Co., Ltd, Beijing, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Futures Market Monitoring Center Co., Ltd, Beijing, People\u2019s Republic of China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048709524","display_name":"Dun Li","orcid":"https://orcid.org/0000-0002-1986-7144"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dun Li","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zheng Zhou University, Zheng Zhou, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zheng Zhou University, Zheng Zhou, People\u2019s Republic of China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048709524","https://openalex.org/A5072333505"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":{"value":1270,"currency":"USD","value_usd":1270},"fwci":0.6345,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71338875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"35","issue":"1","first_page":null,"last_page":null},"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":0.9990000128746033,"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":0.9882000088691711,"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":0.8017561435699463},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5404984951019287},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.5371172428131104},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.5278204083442688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5164394974708557},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.48430171608924866},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4797900319099426},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4441232681274414},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4229717254638672},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39210858941078186},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35506004095077515},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26901495456695557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8017561435699463},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5404984951019287},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.5371172428131104},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.5278204083442688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5164394974708557},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.48430171608924866},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4797900319099426},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4441232681274414},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4229717254638672},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39210858941078186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35506004095077515},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26901495456695557},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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":2,"locations":[{"id":"doi:10.1080/09540091.2022.2161480","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1080/09540091.2022.2161480","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7d412b518dca4778bcc784f743d02364","is_oa":true,"landing_page_url":"https://doaj.org/article/7d412b518dca4778bcc784f743d02364","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 35, Iss 1 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/09540091.2022.2161480","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1080/09540091.2022.2161480","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W116152025","https://openalex.org/W175897666","https://openalex.org/W1426956448","https://openalex.org/W1587191403","https://openalex.org/W2010187764","https://openalex.org/W2029249040","https://openalex.org/W2052059088","https://openalex.org/W2097266862","https://openalex.org/W2107306718","https://openalex.org/W2127795553","https://openalex.org/W2151502664","https://openalex.org/W2155322595","https://openalex.org/W2326418800","https://openalex.org/W2407673450","https://openalex.org/W2481916066","https://openalex.org/W2551361256","https://openalex.org/W2579831760","https://openalex.org/W2604314403","https://openalex.org/W2741249238","https://openalex.org/W2893775232","https://openalex.org/W2900172366","https://openalex.org/W2963380480","https://openalex.org/W2964090065","https://openalex.org/W2964152081","https://openalex.org/W3003265726","https://openalex.org/W3046075728","https://openalex.org/W3173150024","https://openalex.org/W3173336776","https://openalex.org/W3174905206","https://openalex.org/W4213350211","https://openalex.org/W4238292764","https://openalex.org/W4297734170","https://openalex.org/W4385245566","https://openalex.org/W7033551188"],"related_works":["https://openalex.org/W2382566571","https://openalex.org/W2349321798","https://openalex.org/W2366686860","https://openalex.org/W2350859087","https://openalex.org/W2387118502","https://openalex.org/W4233775131","https://openalex.org/W2391262724","https://openalex.org/W2912859789","https://openalex.org/W3080107865","https://openalex.org/W3103476451"],"abstract_inverted_index":{"Knowledge":[0],"reasoning":[1,27,62,163],"technology":[2],"can":[3],"infer":[4],"new":[5,159],"knowledge":[6,16,21,26,61,86,162],"based":[7,29,64],"on":[8,30,65,125],"the":[9,15,20,24,34,41,73,85,89,104,109,126,130,150],"existing":[10,25],"entity":[11,75],"relationship":[12,32,42,50,79,106],"information":[13,81],"in":[14,40,84,141],"graph":[17],"to":[18,98,138],"complement":[19],"graph.":[22],"In":[23],"methods":[28],"multi-step":[31,105],"paths,":[33],"contributions":[35],"of":[36,103,115],"entities":[37],"and":[38,69,78,88,112,129,145,153,156],"relationships":[39],"paths":[43,51],"are":[44,48,82,117,122],"not":[45],"distinguished,":[46],"nor":[47],"multiple":[49],"comprehensively":[52],"considered.":[53],"To":[54],"solve":[55],"these":[56],"problems,":[57],"we":[58],"propose":[59],"a":[60,100,158],"model":[63,94,135],"Bi-directional":[66],"Short-Term":[67],"Memory":[68],"Attention":[70],"Mechanism.":[71],"Firstly,":[72],"neighborhood,":[74],"semantic":[76],"category":[77],"path":[80],"integrated":[83],"graph,":[87],"Neighborhood":[90],"Semantic":[91],"Path":[92],"Network":[93],"(NSPN)":[95],"is":[96,136],"constructed":[97],"obtain":[99],"hybrid":[101],"representation":[102],"path.":[107],"Secondly,":[108],"loss":[110],"function":[111],"training":[113],"process":[114],"NSPN":[116],"introduced.":[118],"Finally,":[119],"comparative":[120],"experiments":[121],"carried":[123],"out":[124],"public":[127],"dataset,":[128],"results":[131],"show":[132],"that":[133],"our":[134],"superior":[137],"other":[139],"models":[140],"relation":[142],"prediction":[143,147],"tasks":[144],"link":[146],"tasks,":[148],"improves":[149],"computational":[151],"efficiency":[152],"data":[154],"sparsity,":[155],"provides":[157],"idea":[160],"for":[161],"methods.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
