{"id":"https://openalex.org/W4392843852","doi":"https://doi.org/10.1109/tkde.2024.3365103","title":"Context-Aware Commonsense Knowledge Graph Reasoning With Path-Guided Explanations","display_name":"Context-Aware Commonsense Knowledge Graph Reasoning With Path-Guided Explanations","publication_year":2024,"publication_date":"2024-02-14","ids":{"openalex":"https://openalex.org/W4392843852","doi":"https://doi.org/10.1109/tkde.2024.3365103"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3365103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3365103","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":"https://openalex.org/A5001383866","display_name":"Yudai Pan","orcid":"https://orcid.org/0000-0003-1942-3401"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yudai Pan","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","National Engineering Lab for Big Data Analytics, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-1942-3401","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"National Engineering Lab for Big Data Analytics, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210096250"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361891","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-6004-0675"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-6004-0675","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034779671","display_name":"Tianzhe Zhao","orcid":"https://orcid.org/0000-0002-2879-2703"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhe Zhao","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-2879-2703","affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384144","display_name":"Lingling Zhang","orcid":"https://orcid.org/0000-0001-8136-8795"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Zhang","raw_affiliation_strings":["Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-8136-8795","affiliations":[{"raw_affiliation_string":"Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077226300","display_name":"Qianying Wang","orcid":"https://orcid.org/0000-0003-2058-2282"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianying Wang","raw_affiliation_strings":["Lenovo Research, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2058-2282","affiliations":[{"raw_affiliation_string":"Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001383866"],"corresponding_institution_ids":["https://openalex.org/I4210096250","https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":2.3179,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89272969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"36","issue":"8","first_page":"3725","last_page":"3738"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9976000189781189,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9976000189781189,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973999857902527,"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":0.9821000099182129,"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":0.8262640237808228},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.7452238202095032},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.7406437993049622},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5365434288978577},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5201176404953003},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48755401372909546},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4823314845561981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4126642346382141},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3638303279876709},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.34121453762054443},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3355351984500885},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16701224446296692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8262640237808228},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.7452238202095032},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.7406437993049622},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5365434288978577},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5201176404953003},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48755401372909546},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4823314845561981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4126642346382141},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3638303279876709},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.34121453762054443},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3355351984500885},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16701224446296692},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3365103","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3365103","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G1133573065","display_name":null,"funder_award_id":"62176207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1661763918","display_name":null,"funder_award_id":"62293554","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2172843688","display_name":null,"funder_award_id":"62250009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2496375212","display_name":null,"funder_award_id":"62293550","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3250154588","display_name":null,"funder_award_id":"62106190","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4303215675","display_name":null,"funder_award_id":"62192781","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4896784468","display_name":null,"funder_award_id":"62137002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6311837223","display_name":null,"funder_award_id":"62293553","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":0,"referenced_works":[],"related_works":["https://openalex.org/W3035583586","https://openalex.org/W4320165839","https://openalex.org/W2151799802","https://openalex.org/W4385488510","https://openalex.org/W2196562041","https://openalex.org/W2073302931","https://openalex.org/W4378501473","https://openalex.org/W3206107299","https://openalex.org/W3082691151","https://openalex.org/W1868862982"],"abstract_inverted_index":{"Commonsense":[0],"knowledge":[1,7,41],"graphs":[2,42],"(CKGs)":[3],"store":[4],"massive":[5],"commonsense":[6,25,104],"as":[8,30],"triples":[9],"whose":[10],"nodes":[11,22,55],"consist":[12],"of":[13,67,180,188],"free-form":[14],"texts.":[15],"CKG":[16,77,87,122,175],"reasoning":[17,69,88,112,176,183],"aims":[18],"to":[19,39,50,58,120],"predict":[20],"missing":[21],"in":[23,178,192],"incomplete":[24],"triples,":[26],"which":[27],"is":[28,190],"challenging":[29],"it":[31],"requires":[32],"more":[33],"accurate":[34],"embeddings":[35],"for":[36,160],"reasoning.":[37,197],"Compared":[38],"conventional":[40],"(KGs),":[43],"CKGs":[44,167],"have":[45],"deficient":[46],"structural":[47,147],"information":[48,148],"due":[49,57],"their":[51],"sparsity":[52],"and":[53,128,155,174,182],"contain":[54],"indistinguishable":[56],"the":[59,65,102,116,157,186,193],"conceptual":[60],"diversity.":[61],"These":[62],"issues":[63],"limit":[64],"performance":[66],"previous":[68],"methods,":[70],"because":[71],"they":[72],"face":[73],"difficulties":[74],"obtaining":[75],"precise":[76],"representations.":[78],"To":[79],"address":[80],"these":[81],"issues,":[82],"we":[83],"propose":[84],"a":[85,130,135,141,150],"context-aware":[86],"framework":[89],"with":[90],"path-guided":[91],"explanations,":[92],"named":[93],"CoRPe.":[94],"Firstly,":[95],"CoRPe":[96,124,145,170,189],"constructs":[97],"context":[98,110,126],"sentences":[99],"based":[100],"on":[101,134,165],"target":[103],"triple":[105],"using":[106,149],"designed":[107],"templates.":[108],"The":[109],"captures":[111],"paths":[113],"instantiated":[114],"from":[115],"first-order":[117],"logic.":[118],"Secondly,":[119],"improve":[121],"representations,":[123],"injects":[125],"semantics":[127,159],"employs":[129],"context-augmented":[131],"tuning":[132],"strategy":[133],"pre-trained":[136],"language":[137],"model":[138],"(PLM)":[139],"via":[140],"synergistic":[142],"optimization.":[143],"Finally,":[144],"embeds":[146],"graph":[151],"convolutional":[152],"network":[153],"(GCN)":[154],"associates":[156],"textual":[158],"joint":[161],"scoring.":[162],"Extensive":[163],"experiments":[164],"two":[166],"show":[168],"that":[169],"outperforms":[171],"state-of-the-art":[172],"KG":[173],"baselines":[177],"terms":[179],"embedding":[181],"performance.":[184],"Furthermore,":[185],"interpretability":[187],"reflected":[191],"implicit":[194],"logic":[195],"during":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
