{"id":"https://openalex.org/W4225363026","doi":"https://doi.org/10.1109/tnse.2022.3164659","title":"SE-GRU: Structure Embedded Gated Recurrent Unit Neural Networks for Temporal Link Prediction","display_name":"SE-GRU: Structure Embedded Gated Recurrent Unit Neural Networks for Temporal Link Prediction","publication_year":2022,"publication_date":"2022-04-05","ids":{"openalex":"https://openalex.org/W4225363026","doi":"https://doi.org/10.1109/tnse.2022.3164659"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2022.3164659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2022.3164659","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Network Science and 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/A5069542445","display_name":"Yanting Yin","orcid":"https://orcid.org/0000-0001-6638-405X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanting Yin","raw_affiliation_strings":["Tianjin Key Laboratory of Network and Data Security Technology, College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Network and Data Security Technology, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070985443","display_name":"Yajing Wu","orcid":"https://orcid.org/0000-0003-4735-0377"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajing Wu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010582306","display_name":"Xuebing Yang","orcid":"https://orcid.org/0000-0001-8343-125X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuebing Yang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414787","display_name":"Wensheng Zhang","orcid":"https://orcid.org/0000-0003-0752-941X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Zhang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062064974","display_name":"Xiaojie Yuan","orcid":"https://orcid.org/0000-0002-5876-6856"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Yuan","raw_affiliation_strings":["Tianjin Key Laboratory of Network and Data Security Technology, College of Computer Science, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Network and Data Security Technology, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5069542445"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":3.1202,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92216065,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"9","issue":"4","first_page":"2495","last_page":"2509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980999827384949,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.7820473909378052},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7517419457435608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7154166102409363},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5206884145736694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4943366050720215},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4722665548324585},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4676283001899719},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4507454037666321},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4160330295562744},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.1989876627922058}],"concepts":[{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.7820473909378052},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7517419457435608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7154166102409363},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5206884145736694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4943366050720215},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4722665548324585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4676283001899719},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4507454037666321},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4160330295562744},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.1989876627922058},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2022.3164659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2022.3164659","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3410879007","display_name":null,"funder_award_id":"61906190","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4034941058","display_name":null,"funder_award_id":"62077031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5811738602","display_name":null,"funder_award_id":"U1936206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5864907405","display_name":null,"funder_award_id":"61906191","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W1970240724","https://openalex.org/W2058472726","https://openalex.org/W2113207845","https://openalex.org/W2117024463","https://openalex.org/W2130354913","https://openalex.org/W2145121236","https://openalex.org/W2154454189","https://openalex.org/W2155653793","https://openalex.org/W2158954093","https://openalex.org/W2165698076","https://openalex.org/W2294347342","https://openalex.org/W2393319904","https://openalex.org/W2419069506","https://openalex.org/W2522815354","https://openalex.org/W2565330852","https://openalex.org/W2583689815","https://openalex.org/W2650688300","https://openalex.org/W2763875966","https://openalex.org/W2765811365","https://openalex.org/W2770261003","https://openalex.org/W2777190022","https://openalex.org/W2781595402","https://openalex.org/W2782823532","https://openalex.org/W2793311937","https://openalex.org/W2886263965","https://openalex.org/W2896239789","https://openalex.org/W2899663614","https://openalex.org/W2914231700","https://openalex.org/W2951653466","https://openalex.org/W2954691982","https://openalex.org/W2962769133","https://openalex.org/W2963241486","https://openalex.org/W2963757395","https://openalex.org/W2965478150","https://openalex.org/W2965683718","https://openalex.org/W2969227524","https://openalex.org/W2981405661","https://openalex.org/W2996936831","https://openalex.org/W2998313947","https://openalex.org/W3000084680","https://openalex.org/W3024560045","https://openalex.org/W3083272131","https://openalex.org/W3170457273","https://openalex.org/W3204508881","https://openalex.org/W4206408456","https://openalex.org/W4297798520","https://openalex.org/W6640212811","https://openalex.org/W6677088747","https://openalex.org/W6681432096","https://openalex.org/W6748856961","https://openalex.org/W6755977528","https://openalex.org/W6756589475","https://openalex.org/W6757831817"],"related_works":["https://openalex.org/W2579899204","https://openalex.org/W2574209248","https://openalex.org/W2884490506","https://openalex.org/W2483088531","https://openalex.org/W4401920050","https://openalex.org/W2294686723","https://openalex.org/W2601871130","https://openalex.org/W2950359320","https://openalex.org/W4390493883","https://openalex.org/W2623500474"],"abstract_inverted_index":{"Temporal":[0],"link":[1,40],"prediction":[2,41,70,84,190],"on":[3,143,189],"dynamic":[4],"graphs":[5,33],"is":[6],"essential":[7],"to":[8,81,104,117],"various":[9],"areas":[10],"such":[11],"as":[12],"recommendation":[13],"systems,":[14],"social":[15],"networks,":[16,80],"and":[17,20,28,48,58,68,89,112,137,157,169,180],"citation":[18],"analysis,":[19],"thus":[21],"attracts":[22],"great":[23],"attention":[24],"in":[25,34,45],"both":[26],"research":[27],"industry":[29],"fields.":[30],"For":[31],"complex":[32],"real-world":[35],"applications,":[36],"although":[37],"recent":[38],"temporal":[39,115],"methods":[42],"perform":[43],"well":[44],"predicting":[46],"high-frequency":[47],"nearby":[49],"connections,":[50],"it":[51],"becomes":[52],"more":[53],"challenging":[54],"when":[55],"considering":[56,131],"low-frequency":[57],"earlier":[59],"connections.":[60,93],"In":[61],"this":[62],"work,":[63],"we":[64],"introduce":[65],"a":[66,185],"novel":[67],"elegant":[69],"architecture":[71],"called":[72],"Structure":[73],"Embedded":[74],"Gated":[75],"Recurrent":[76],"Unit":[77],"(SE-GRU)":[78],"neural":[79,128],"strengthen":[82],"the":[83,98,106,114,148,167,178],"robustness":[85,170],"against":[86],"frequency":[87],"variation":[88],"occurrence":[90],"delay":[91],"of":[92,151,171,182],"The":[94,139,164],"established":[95],"SE-GRU":[96,152],"embeds":[97],"structure":[99],"for":[100],"local":[101],"topological":[102],"characteristics":[103],"emphasize":[105],"different":[107],"connection":[108],"frequencies":[109,179],"between":[110],"nodes":[111],"captures":[113],"dependencies":[116],"avoid":[118],"losing":[119],"valuable":[120],"information":[121],"caused":[122],"by":[123,175],"long-term":[124],"changes.":[125],"We":[126],"realize":[127],"network":[129],"optimization":[130],"three":[132,144,161],"terms":[133],"concerning":[134],"reconstruction,":[135],"structure,":[136],"evolution.":[138],"extensive":[140],"experiments":[141],"performed":[142],"public":[145],"datasets":[146],"demonstrate":[147],"significant":[149],"superiority":[150],"compared":[153],"with":[154],"5":[155],"representative":[156],"state-of-the-art":[158],"competitors":[159],"under":[160],"evaluation":[162],"metrics.":[163],"results":[165],"validate":[166],"effectiveness":[168],"our":[172],"proposed":[173],"method,":[174],"showing":[176],"that":[177],"timestamps":[181],"connections":[183],"have":[184],"little-to-no":[186],"negative":[187],"impact":[188],"accuracy.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
