{"id":"https://openalex.org/W4285600843","doi":"https://doi.org/10.24963/ijcai.2022/284","title":"Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure","display_name":"Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285600843","doi":"https://doi.org/10.24963/ijcai.2022/284"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/284","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/284","pdf_url":"https://www.ijcai.org/proceedings/2022/0284.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0284.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011016539","display_name":"Yifu Gao","orcid":"https://orcid.org/0000-0002-1743-8055"},"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":"Yifu Gao","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064357921","display_name":"Linhui Feng","orcid":"https://orcid.org/0000-0002-9701-6150"},"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":"Linhui Feng","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033504019","display_name":"Zhigang Kan","orcid":"https://orcid.org/0000-0002-8929-1961"},"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":"Zhigang Kan","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102718591","display_name":"Yi Han","orcid":"https://orcid.org/0000-0001-9176-8178"},"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":"Yi Han","raw_affiliation_strings":["College of Meteorology and Oceanography, National University of Defense Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Meteorology and Oceanography, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043045076","display_name":"Linbo Qiao","orcid":"https://orcid.org/0000-0002-8285-2738"},"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":"Linbo Qiao","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100681030","display_name":"Dongsheng Li","orcid":"https://orcid.org/0000-0001-7725-8040"},"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":["Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2044","last_page":"2051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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":0.9865999817848206,"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":0.7980675101280212},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7238383889198303},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6325677037239075},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5152223706245422},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.495169073343277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4473968744277954},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4426332116127014},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4400201439857483},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33704712986946106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7980675101280212},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7238383889198303},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6325677037239075},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5152223706245422},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.495169073343277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4473968744277954},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4426332116127014},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4400201439857483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33704712986946106},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/284","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/284","pdf_url":"https://www.ijcai.org/proceedings/2022/0284.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/284","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/284","pdf_url":"https://www.ijcai.org/proceedings/2022/0284.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G285475101","display_name":null,"funder_award_id":"61932001","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285600843.pdf","grobid_xml":"https://content.openalex.org/works/W4285600843.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W804133461","https://openalex.org/W1533230146","https://openalex.org/W2107306718","https://openalex.org/W2127795553","https://openalex.org/W2157331557","https://openalex.org/W2432356473","https://openalex.org/W2573189311","https://openalex.org/W2728059831","https://openalex.org/W2889782235","https://openalex.org/W2890410208","https://openalex.org/W2907192581","https://openalex.org/W2949434543","https://openalex.org/W2962869320","https://openalex.org/W2962886429","https://openalex.org/W2962948632","https://openalex.org/W2963359213","https://openalex.org/W3097986917","https://openalex.org/W3121980643","https://openalex.org/W3174368915","https://openalex.org/W3182741322","https://openalex.org/W3187578449","https://openalex.org/W3188263062","https://openalex.org/W4299547686","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W2055243143","https://openalex.org/W4205302943","https://openalex.org/W4206178588","https://openalex.org/W3094491777","https://openalex.org/W3214715529","https://openalex.org/W4287635093"],"abstract_inverted_index":{"Temporal":[0],"knowledge":[1],"graph":[2,73,146],"(TKG)":[3],"reasoning":[4,51],"that":[5,69,155],"infers":[6],"missing":[7],"facts":[8,35,95,110,142],"in":[9,53,124],"the":[10,38,83,89,118,126,131],"future":[11,21,140],"is":[12],"an":[13,54],"essential":[14],"and":[15,93,102,162],"challenging":[16],"task.":[17],"When":[18],"predicting":[19],"a":[20,26,49,65,71],"event,":[22],"there":[23],"must":[24],"be":[25],"narrative":[27],"evolutionary":[28],"process":[29,52],"composed":[30],"of":[31],"closely":[32],"related":[33,109],"historical":[34,92],"to":[36,79,122,138],"support":[37],"event's":[39],"occurrence,":[40],"namely":[41],"fact":[42,113],"precursors.":[43],"However,":[44],"most":[45],"existing":[46],"models":[47],"employ":[48],"sequential":[50],"auto-regressive":[55],"manner,":[56],"which":[57,134],"cannot":[58],"capture":[59],"precursor":[60,127,163],"information.":[61],"This":[62],"paper":[63],"proposes":[64],"novel":[66],"auto-encoder":[67],"architecture":[68],"introduces":[70],"relation-aware":[72],"attention":[74,98],"layer":[75],"into":[76,111],"transformer":[77],"(rGalT)":[78],"accommodate":[80],"inference":[81],"over":[82],"TKG.":[84],"Specifically,":[85],"we":[86,116],"first":[87],"calculate":[88],"correlation":[90],"between":[91],"predicted":[94],"through":[96],"multiple":[97],"mechanisms":[99],"along":[100],"intra-graph":[101],"inter-graph":[103],"dimensions,":[104],"then":[105],"constitute":[106],"these":[107],"mutually":[108],"diverse":[112],"segments.":[114],"Next,":[115],"borrow":[117],"translation":[119],"generation":[120],"idea":[121],"decode":[123],"parallel":[125],"information":[128],"associated":[129],"with":[130],"given":[132],"query,":[133],"enables":[135],"our":[136,156],"model":[137,157],"infer":[139],"unknown":[141],"by":[143],"progressively":[144],"generating":[145],"structures.":[147],"Experimental":[148],"results":[149],"on":[150],"four":[151],"benchmark":[152],"datasets":[153],"demonstrate":[154],"outperforms":[158],"other":[159],"state-of-the-art":[160],"methods,":[161],"identi\ufb01cation":[164],"provides":[165],"supporting":[166],"evidence":[167],"for":[168],"prediction.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}