{"id":"https://openalex.org/W4415428259","doi":"https://doi.org/10.3233/faia251081","title":"Temporal Knowledge Graph Question Answering via Sub-Question Decomposition and Cross-Checking","display_name":"Temporal Knowledge Graph Question Answering via Sub-Question Decomposition and Cross-Checking","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415428259","doi":"https://doi.org/10.3233/faia251081"},"language":null,"primary_location":{"id":"doi:10.3233/faia251081","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251081","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia251081","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004720977","display_name":"Jiahui Li","orcid":null},"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":"Jiahui Li","raw_affiliation_strings":["School of Software Engineering, Xi\u2019an Jiaotong University, China"],"raw_orcid":"https://orcid.org/0009-0003-7419-344X","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071788401","display_name":"Xiangzhen Meng","orcid":"https://orcid.org/0009-0001-2859-3114"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangzhen Meng","raw_affiliation_strings":["Aviation Engineering School, Air Force Engineering University, China"],"raw_orcid":"https://orcid.org/0009-0001-2859-3114","affiliations":[{"raw_affiliation_string":"Aviation Engineering School, Air Force Engineering University, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108651660","display_name":"Peilin Jiang","orcid":"https://orcid.org/0000-0003-0316-6631"},"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":"Peilin Jiang","raw_affiliation_strings":["College of Artificial Intelligence, Xi\u2019an Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002989252","display_name":"Xilang Tang","orcid":"https://orcid.org/0000-0003-2279-5994"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilang Tang","raw_affiliation_strings":["Equipment Management and Unmanned Aerial Vehicle Engineering School, Air Force Engineering University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Equipment Management and Unmanned Aerial Vehicle Engineering School, Air Force Engineering University, China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.43949468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.995199978351593,"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":0.995199978351593,"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":0.9846000075340271,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9829999804496765,"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/executable","display_name":"Executable","score":0.7563999891281128},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.7218000292778015},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5501000285148621},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4814000129699707},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4805999994277954},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.42170000076293945},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4036000072956085},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.39089998602867126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7958999872207642},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.7563999891281128},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7218000292778015},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5501000285148621},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4814000129699707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4810999929904938},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4805999994277954},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.42170000076293945},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4036000072956085},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3434000015258789},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3158999979496002},{"id":"https://openalex.org/C25016198","wikidata":"https://www.wikidata.org/wiki/Q781833","display_name":"Temporal logic","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29100000858306885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26919999718666077},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.26010000705718994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia251081","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251081","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia251081","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251081","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Temporal":[0],"Knowledge":[1],"Graph":[2],"Question":[3],"Answering":[4],"(TKGQA)":[5],"requires":[6],"precise":[7],"alignment":[8],"between":[9],"natural":[10],"language":[11],"questions":[12],"and":[13,39,56,85,149],"temporally":[14,76],"structured":[15],"knowledge.":[16],"While":[17],"Large":[18],"Language":[19],"Models":[20],"(LLMs)":[21],"have":[22],"shown":[23],"promise":[24],"in":[25,37],"complex":[26,169],"reasoning":[27,139],"tasks,":[28],"they":[29],"often":[30],"struggle":[31],"with":[32,143],"ambiguous":[33],"temporal":[34,63,83,145,171],"cues,":[35],"resulting":[36],"hallucinations":[38],"limited":[40],"robustness.":[41],"To":[42],"address":[43],"these":[44],"issues,":[45],"we":[46],"propose":[47],"DeCompKGQA,":[48],"a":[49,57,75,109],"two-stage":[50],"framework":[51],"that":[52,159],"leverages":[53],"sub-question":[54,96,127],"decomposition":[55],"dedicated":[58],"cross-checking":[59,110],"module":[60,111],"for":[61,104],"iterative":[62],"reasoning.":[64],"In":[65,91],"the":[66,69,92,95,98,113,117,125,130,137],"first":[67],"stage,":[68,94],"input":[70],"question":[71],"is":[72,174],"decomposed":[73],"into":[74],"constrained":[77],"sub-question,":[78],"enabling":[79],"finer":[80],"control":[81],"over":[82],"conditions":[84],"logical":[86],"dependencies":[87],"while":[88],"reducing":[89],"ambiguity.":[90],"second":[93],"guides":[97],"selection":[99],"of":[100,119,141],"executable":[101],"query":[102],"templates":[103],"candidate":[105],"retrieval,":[106],"after":[107],"which":[108],"compares":[112],"retrieved":[114],"candidates":[115],"against":[116],"outputs":[118],"an":[120],"embedding-based":[121],"TKGQA":[122],"model":[123],"on":[124,154,168],"same":[126],"to":[128],"determine":[129],"intermediate":[131],"answer.":[132],"This":[133],"hybrid":[134],"approach":[135],"aligns":[136],"implicit":[138],"capabilities":[140],"LLMs":[142],"explicit":[144],"facts,":[146],"improving":[147],"robustness":[148],"mitigating":[150],"hallucinations.":[151],"Experimental":[152],"results":[153],"multiple":[155],"benchmark":[156],"datasets":[157],"demonstrate":[158],"DeCompKGQA":[160],"consistently":[161],"outperforms":[162],"strong":[163],"baselines,":[164],"achieving":[165],"state-of-the-art":[166],"performance":[167],"multi-hop":[170],"queries.":[172],"Code":[173],"available":[175],"at:":[176],"https://github.com/lijh01/DeCompKGQA.":[177]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-24T00:00:00"}
