{"id":"https://openalex.org/W4412536357","doi":"https://doi.org/10.1109/tkde.2025.3591056","title":"Thinking on Context: Inductive Relation Prediction Guided by the Reasoning Ability of Large Language Models","display_name":"Thinking on Context: Inductive Relation Prediction Guided by the Reasoning Ability of Large Language Models","publication_year":2025,"publication_date":"2025-07-21","ids":{"openalex":"https://openalex.org/W4412536357","doi":"https://doi.org/10.1109/tkde.2025.3591056"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3591056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3591056","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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":null,"display_name":"Xiaoshu Chen","orcid":"https://orcid.org/0000-0003-0704-4543"},"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":"Xiaoshu Chen","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-0704-4543","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032131582","display_name":"Sihang Zhou","orcid":"https://orcid.org/0000-0003-1491-4594"},"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":"Sihang Zhou","raw_affiliation_strings":["College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1491-4594","affiliations":[{"raw_affiliation_string":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009525613","display_name":"Ke Liang","orcid":"https://orcid.org/0000-0002-4837-455X"},"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":"Ke Liang","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-4837-455X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022066800","display_name":"Jiafei Wu","orcid":"https://orcid.org/0009-0001-8125-1586"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiafei Wu","raw_affiliation_strings":["Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"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":"Xinwang Liu","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9066-1475","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dongsheng Li","orcid":"https://orcid.org/0000-0001-9743-2034"},"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":"Dongsheng Li","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9743-2034","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kai Lu","orcid":"https://orcid.org/0000-0003-2284-7897"},"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":"Kai Lu","raw_affiliation_strings":["College of Computer Science and Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2284-7897","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2282,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84458178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"37","issue":"10","first_page":"6202","last_page":"6215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9434000253677368,"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/T10028","display_name":"Topic Modeling","score":0.9434000253677368,"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":0.7836166024208069},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6848838925361633},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6063562035560608},{"id":"https://openalex.org/keywords/inductive-reasoning","display_name":"Inductive reasoning","score":0.5733163952827454},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5328505635261536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48271581530570984},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.46288415789604187},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3696492314338684},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32526201009750366},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20237219333648682},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11538323760032654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836166024208069},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6848838925361633},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6063562035560608},{"id":"https://openalex.org/C21563000","wikidata":"https://www.wikidata.org/wiki/Q484511","display_name":"Inductive reasoning","level":2,"score":0.5733163952827454},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5328505635261536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48271581530570984},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.46288415789604187},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3696492314338684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32526201009750366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20237219333648682},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11538323760032654},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3591056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3591056","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2277931485","display_name":null,"funder_award_id":"62421002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2455478723","display_name":null,"funder_award_id":"62276271","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2728059831","https://openalex.org/W2914592219","https://openalex.org/W2963571857","https://openalex.org/W2974737854","https://openalex.org/W3113170987","https://openalex.org/W3137492414","https://openalex.org/W3190620190","https://openalex.org/W3214819853","https://openalex.org/W4380303532","https://openalex.org/W4382239387","https://openalex.org/W4385567578","https://openalex.org/W4385570961","https://openalex.org/W4393147681","https://openalex.org/W4393147976","https://openalex.org/W4393152682","https://openalex.org/W4393160586","https://openalex.org/W4394764001","https://openalex.org/W4400111732","https://openalex.org/W4400880042","https://openalex.org/W4400904993","https://openalex.org/W4402892122","https://openalex.org/W4403122920","https://openalex.org/W4403791927","https://openalex.org/W4408353548","https://openalex.org/W4408441345","https://openalex.org/W4409364935"],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2323648130","https://openalex.org/W2157140558","https://openalex.org/W2378782423","https://openalex.org/W2388988621","https://openalex.org/W2357797405","https://openalex.org/W2366623913","https://openalex.org/W2374905595","https://openalex.org/W2516693588","https://openalex.org/W2116112408"],"abstract_inverted_index":{"Inductive":[0],"relation":[1,27,40,66,73,106,135],"prediction":[2],"aims":[3],"to":[4,34,64,122,178,192,212],"predict":[5],"missing":[6],"connections":[7],"between":[8,29,104],"entities":[9],"unseen":[10],"during":[11,113],"training.":[12],"Recent":[13],"approaches":[14],"adopt":[15],"binary":[16],"(positive":[17],"or":[18,47,84],"negative)":[19],"training":[20,138],"labels,":[21],"which":[22,120],"indicate":[23],"whether":[24,70],"the":[25,30,38,43,59,71,95,102,108,127,133,140,147,155,158,190,207,218],"query":[26,72,105,128,134,159],"exists":[28],"entities,":[31],"as":[32,151,184],"supervision":[33],"teach":[35],"models":[36,61,176],"recognizing":[37],"entity-independent":[39],"patterns":[41,150],"in":[42,54,82,136,220,241],"context":[44],"(enclosed":[45],"subgraph":[46],"connective":[48],"path).":[49],"However,":[50],"we":[51,165],"argue":[52],"that":[53,230],"this":[55],"kind":[56],"of":[57,157,182,201,210],"method,":[58],"trained":[60],"are":[62],"guided":[63],"make":[65,193],"predictions":[67,195],"by":[68],"remembering":[69],"and":[74,107,222],"its":[75],"contextual":[76],"relational":[77,109,118,149,194,225],"pattern":[78,110],"co-occur":[79],"more":[80],"frequently":[81,130],"positive":[83,137],"negative":[85,215],"samples.":[86],"This":[87],"solution":[88],"could":[89],"introduce":[90],"two":[91],"major":[92],"limitations:":[93],"1)":[94],"model":[96,141,191,219],"struggles":[97],"with":[98,132],"long-tail":[99],"combinations,":[100],"i.e.,":[101],"combination":[103],"rarely":[111],"occurs":[112],"training;":[114],"2)":[115],"when":[116],"noisy":[117,148,224],"patterns,":[119],"fail":[121],"provide":[123],"evidence":[124],"for":[125],"predicting":[126],"relation,":[129],"occur":[131],"samples,":[139,216],"will":[142],"be":[143],"misled":[144],"into":[145],"considering":[146],"a":[152,180],"feature":[153],"supporting":[154],"existence":[156],"relation.":[160],"To":[161],"solve":[162],"these":[163],"problems,":[164],"propose":[166],"ToC":[167,171,205,231],"(Thinking":[168],"on":[169,197],"Context).":[170],"first":[172],"utilizes":[173],"large":[174],"language":[175],"(LLMs)":[177],"incorporate":[179],"chain":[181],"thought":[183],"an":[185],"additional":[186],"supervisory":[187],"constraint,":[188],"guiding":[189],"based":[196],"logical":[198],"reasoning":[199,208],"instead":[200],"co-occurrence":[202],"frequency.":[203],"Additionally,":[204],"employs":[206],"capabilities":[209],"LLMs":[211],"construct":[213],"context-level":[214],"aiding":[217],"identifying":[221],"disregarding":[223],"patterns.":[226],"Extensive":[227],"experiments":[228],"show":[229],"significantly":[232],"outperforms":[233],"state-of-the-art":[234],"methods":[235],"across":[236],"three":[237],"widely":[238],"used":[239],"datasets":[240],"multiple":[242],"inductive":[243],"settingshttps://github.com/AI-Chen/ToC_KGC.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
