{"id":"https://openalex.org/W4396802144","doi":"https://doi.org/10.1145/3626772.3657706","title":"Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph","display_name":"Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4396802144","doi":"https://doi.org/10.1145/3626772.3657706"},"language":"en","primary_location":{"id":"doi:10.1145/3626772.3657706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2405.00352","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077058487","display_name":"Zhiyu Fang","orcid":"https://orcid.org/0000-0001-5986-029X"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyu Fang","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China","University of Science and Technology Beijing Haidian, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5986-029X","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"University of Science and Technology Beijing Haidian, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039681197","display_name":"Shuai-Long Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai-Long Lei","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China","University of Science and Technology Beijing Haidian, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-4156-7453","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"University of Science and Technology Beijing Haidian, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078514263","display_name":"Xiaobin Zhu","orcid":"https://orcid.org/0000-0003-2702-4136"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobin Zhu","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China","University of Science and Technology Beijing Haidian, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2702-4136","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"University of Science and Technology Beijing Haidian, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015252816","display_name":"Chun Yang","orcid":"https://orcid.org/0000-0002-6297-4500"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Yang","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China","University of Science and Technology Beijing Haidian, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6297-4500","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"University of Science and Technology Beijing Haidian, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075041497","display_name":"Shi-Xue Zhang","orcid":"https://orcid.org/0000-0001-7030-1974"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi-Xue Zhang","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China","University of Science and Technology Beijing Haidian, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7030-1974","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"University of Science and Technology Beijing Haidian, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074514262","display_name":"Xu-Cheng Yin","orcid":"https://orcid.org/0000-0003-0023-0220"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu-Cheng Yin","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China","University of Science and Technology Beijing Haidian, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0023-0220","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"University of Science and Technology Beijing Haidian, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072850755","display_name":"Jingyan Qin","orcid":"https://orcid.org/0000-0002-4101-4316"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyan Qin","raw_affiliation_strings":["University of Science and Technology Beijing, Beijing, China","University of Science and Technology Beijing Haidian, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4101-4316","affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"University of Science and Technology Beijing Haidian, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5077058487"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":4.8166,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95485906,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9972000122070312,"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":0.9972000122070312,"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":0.9955999851226807,"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":0.9952999949455261,"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":0.6896319389343262},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5380697846412659},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5014498233795166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4719081521034241},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4611935615539551},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3207841217517853},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3204648494720459},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26004284620285034},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08789259195327759}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896319389343262},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5380697846412659},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5014498233795166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4719081521034241},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4611935615539551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3207841217517853},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3204648494720459},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26004284620285034},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08789259195327759},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3626772.3657706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2405.00352","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.00352","pdf_url":"https://arxiv.org/pdf/2405.00352","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2405.00352","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.00352","pdf_url":"https://arxiv.org/pdf/2405.00352","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1418821987","display_name":null,"funder_award_id":"62076024, 62172035","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G1567622451","display_name":null,"funder_award_id":"2022ZD0119204","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G2141617675","display_name":null,"funder_award_id":"62076024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2903026367","display_name":null,"funder_award_id":"62172035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7053223682","display_name":null,"funder_award_id":"62125601","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G8772010899","display_name":null,"funder_award_id":"62125601","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396802144.pdf","grobid_xml":"https://content.openalex.org/works/W4396802144.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2607303097","https://openalex.org/W2998528434","https://openalex.org/W3080649566","https://openalex.org/W3082429057","https://openalex.org/W3086232317","https://openalex.org/W3097986917","https://openalex.org/W3099150947","https://openalex.org/W3101611558","https://openalex.org/W3106844781","https://openalex.org/W3115318530","https://openalex.org/W3167316272","https://openalex.org/W3169228325","https://openalex.org/W3175405178","https://openalex.org/W3182741322","https://openalex.org/W3187578449","https://openalex.org/W3196669501","https://openalex.org/W3199561489","https://openalex.org/W4213337779","https://openalex.org/W4226350104","https://openalex.org/W4229024390","https://openalex.org/W4285224608","https://openalex.org/W4285600519","https://openalex.org/W4306801146","https://openalex.org/W4312702703","https://openalex.org/W4367046683","https://openalex.org/W4367047514","https://openalex.org/W4377971427","https://openalex.org/W4382239641","https://openalex.org/W4384656794","https://openalex.org/W4384659456","https://openalex.org/W4385430245","https://openalex.org/W4385571206","https://openalex.org/W4385571579","https://openalex.org/W4385573235","https://openalex.org/W4385574100","https://openalex.org/W4387854270","https://openalex.org/W4388192595","https://openalex.org/W4389518808","https://openalex.org/W6600137863"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W4390590544","https://openalex.org/W2096195258","https://openalex.org/W2990460313","https://openalex.org/W2054026175"],"abstract_inverted_index":{"Temporal":[0],"Knowledge":[1],"Graph":[2],"(TKG)":[3],"reasoning":[4,83,141],"often":[5,32],"involves":[6],"completing":[7],"missing":[8],"factual":[9,23],"elements":[10],"along":[11],"the":[12,36,49,66,91,100,117,130,145,151,167,170,185,196,200],"timeline.":[13],"Although":[14],"existing":[15],"methods":[16],"can":[17],"learn":[18,90,129,150],"good":[19],"embeddings":[20,131],"for":[21,87,119,134,156],"each":[22],"element":[24],"in":[25,107],"quadruples":[26,57],"by":[27],"integrating":[28],"temporal":[29,39,69,160,182],"information,":[30],"they":[31],"fail":[33],"to":[34,89,128,149,165,179],"infer":[35],"evolution":[37],"of":[38,45,65,94,103,114,132,154,169,202],"facts.":[40],"This":[41],"is":[42],"mainly":[43],"because":[44],"(1)":[46],"insufficiently":[47],"exploring":[48],"internal":[50],"structure":[51],"and":[52,58,68,199],"semantic":[53],"relationships":[54],"within":[55,184],"individual":[56],"(2)":[59],"inadequately":[60],"learning":[61],"a":[62,80,125,139],"unified":[63,152,187],"representation":[64],"contextual":[67],"correlations":[70],"among":[71],"different":[72],"quadruples.":[73],"To":[74],"overcome":[75],"these":[76],"limitations,":[77],"we":[78,98,123,172],"propose":[79],"novel":[81],"Transformer-based":[82],"model":[84],"(dubbed":[85],"ECEformer)":[86],"TKG":[88],"Evolutionary":[92],"Chain":[93],"Events":[95],"(ECE).":[96],"Specifically,":[97],"unfold":[99],"neighborhood":[101],"subgraph":[102],"an":[104,111,174],"entity":[105],"node":[106],"chronological":[108],"order,":[109],"forming":[110],"evolutionary":[112],"chain":[113],"events":[115],"as":[116],"input":[118],"our":[120,203],"model.":[121],"Subsequently,":[122],"utilize":[124],"Transformer":[126],"encoder":[127],"intra-quadruples":[133],"ECE.":[135],"We":[136],"then":[137],"craft":[138],"mixed-context":[140],"module":[142],"based":[143],"on":[144,191],"multi-layer":[146],"perceptron":[147],"(MLP)":[148],"representations":[153],"inter-quadruples":[155],"ECE":[157],"while":[158],"accomplishing":[159],"knowledge":[161],"reasoning.":[162],"In":[163],"addition,":[164],"enhance":[166],"timeliness":[168],"events,":[171],"devise":[173],"additional":[175],"time":[176],"prediction":[177],"task":[178],"complete":[180],"effective":[181],"information":[183],"learned":[186],"representation.":[188],"Extensive":[189],"experiments":[190],"six":[192],"benchmark":[193],"datasets":[194],"verify":[195],"state-of-the-art":[197],"performance":[198],"effectiveness":[201],"method.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2024-05-11T00:00:00"}
