{"id":"https://openalex.org/W4392911065","doi":"https://doi.org/10.1145/3653015","title":"DHyper: A Recurrent Dual Hypergraph Neural Network for Event Prediction in Temporal Knowledge Graphs","display_name":"DHyper: A Recurrent Dual Hypergraph Neural Network for Event Prediction in Temporal Knowledge Graphs","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392911065","doi":"https://doi.org/10.1145/3653015"},"language":"en","primary_location":{"id":"doi:10.1145/3653015","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653015","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","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/A5101484815","display_name":"Xing Tang","orcid":"https://orcid.org/0000-0003-0265-2056"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xing Tang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0265-2056","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411139","display_name":"Ling Chen","orcid":"https://orcid.org/0000-0003-1934-5992"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Chen","raw_affiliation_strings":["State Key Laboratory of Blockchain and Data Security, College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1934-5992","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Blockchain and Data Security, College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103216297","display_name":"Hongyu Shi","orcid":"https://orcid.org/0000-0002-8625-7135"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Shi","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8625-7135","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014942177","display_name":"Dandan Lyu","orcid":"https://orcid.org/0000-0001-9285-6970"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Lyu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9285-6970","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101484815"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":4.4243,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94882603,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"42","issue":"5","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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":0.9958999752998352,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/dual","display_name":"Dual (grammatical number)","score":0.7497802972793579},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.6114585399627686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5700545907020569},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5174372792243958},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.513778030872345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43548744916915894},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28484171628952026},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.17259514331817627},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06582599878311157}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.7497802972793579},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.6114585399627686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5700545907020569},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5174372792243958},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.513778030872345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43548744916915894},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28484171628952026},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.17259514331817627},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06582599878311157},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3653015","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3653015","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1583088338","display_name":null,"funder_award_id":"2018YFB0505000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1437335841","https://openalex.org/W1864134408","https://openalex.org/W2187089797","https://openalex.org/W2604314403","https://openalex.org/W2609145583","https://openalex.org/W2890410208","https://openalex.org/W2892880750","https://openalex.org/W2913866716","https://openalex.org/W2946029440","https://openalex.org/W2950393809","https://openalex.org/W2987119394","https://openalex.org/W3032521456","https://openalex.org/W3035666843","https://openalex.org/W3080649566","https://openalex.org/W3081304929","https://openalex.org/W3084654275","https://openalex.org/W3091129453","https://openalex.org/W3097986917","https://openalex.org/W3099845049","https://openalex.org/W3122868618","https://openalex.org/W3170545268","https://openalex.org/W3173856251","https://openalex.org/W3182741322","https://openalex.org/W3187064824","https://openalex.org/W3190867660","https://openalex.org/W3196669501","https://openalex.org/W3198098536","https://openalex.org/W3211214398","https://openalex.org/W4224983022","https://openalex.org/W4282567554","https://openalex.org/W4282926996","https://openalex.org/W4282974123","https://openalex.org/W4285428788","https://openalex.org/W4285600519","https://openalex.org/W4289533863","https://openalex.org/W4306317492","https://openalex.org/W4312773123","https://openalex.org/W4313476061","https://openalex.org/W4388755528","https://openalex.org/W4398265979"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W2472555608","https://openalex.org/W4214498971"],"abstract_inverted_index":{"Event":[0],"prediction":[1,77],"is":[2,100,122],"a":[3,69,95,113],"vital":[4],"and":[5,47,92,109,129,136,164,170],"challenging":[6],"task":[7],"in":[8,18,36,78,112,166],"temporal":[9],"knowledge":[10],"graphs":[11,43],"(TKGs),":[12],"which":[13,54,80],"have":[14],"played":[15],"crucial":[16],"roles":[17],"various":[19],"applications.":[20],"Recently,":[21],"many":[22],"graph":[23,33],"neural":[24,73],"networks":[25],"based":[26,44],"approaches":[27,40],"are":[28],"proposed":[29,101],"to":[30,56,102,124],"model":[31,48],"the":[32,49,58,83,86,104,126,133,137,150,154],"structure":[34],"information":[35,127],"TKGs.":[37],"However,":[38],"these":[39],"only":[41],"construct":[42],"on":[45,132,142],"quadruplets":[46],"pairwise":[50],"correlation":[51],"between":[52],"entities,":[53],"fail":[55],"capture":[57],"high-order":[59,87,105],"correlations":[60,88,106],"among":[61,89,107,110],"entities.":[62],"To":[63],"this":[64],"end,":[65],"we":[66],"propose":[67],"DHyper,":[68],"recurrent":[70],"Dual":[71],"Hypergraph":[72],"network":[74,121],"for":[75],"event":[76],"TKGs,":[79],"simultaneously":[81],"models":[82],"influences":[84],"of":[85,160],"both":[90],"entities":[91,108],"relations.":[93],"Specifically,":[94],"dual":[96,117],"hypergraph":[97,118,135],"learning":[98],"module":[99],"discover":[103],"relations":[111],"parameterized":[114],"way.":[115],"A":[116],"message":[119],"passing":[120],"introduced":[123],"perform":[125],"aggregation":[128],"representation":[130],"fusion":[131],"entity":[134],"relation":[138],"hypergraph.":[139],"Extensive":[140],"experiments":[141],"six":[143],"real-world":[144],"datasets":[145],"demonstrate":[146],"that":[147],"DHyper":[148],"achieves":[149],"state-of-the-art":[151],"performances,":[152],"outperforming":[153],"best":[155],"baseline":[156],"by":[157],"an":[158],"average":[159],"13.09%,":[161],"4.26%,":[162],"17.60%,":[163],"18.03%":[165],"MRR,":[167],"Hits@1,":[168],"Hits@3,":[169],"Hits@10,":[171],"respectively.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
