{"id":"https://openalex.org/W2969227524","doi":"https://doi.org/10.1109/tsmc.2019.2932913","title":"E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction","display_name":"E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction","publication_year":2019,"publication_date":"2019-08-22","ids":{"openalex":"https://openalex.org/W2969227524","doi":"https://doi.org/10.1109/tsmc.2019.2932913","mag":"2969227524"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2019.2932913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2019.2932913","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: 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/A5101758654","display_name":"Jinyin Chen","orcid":"https://orcid.org/0000-0002-7153-2755"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyin Chen","raw_affiliation_strings":["Big Search in Cyberspace Research Center, Zhejiang Laboratory, Hangzhou, China","Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7153-2755","affiliations":[{"raw_affiliation_string":"Big Search in Cyberspace Research Center, Zhejiang Laboratory, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409868","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0001-6520-9006"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6520-9006","affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039783836","display_name":"Xuanheng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanheng Xu","raw_affiliation_strings":["Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005491880","display_name":"Chenbo Fu","orcid":"https://orcid.org/0000-0002-9430-5096"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenbo Fu","raw_affiliation_strings":["Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9430-5096","affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456014","display_name":"Dan Zhang","orcid":"https://orcid.org/0000-0002-1183-2166"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Zhang","raw_affiliation_strings":["Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1183-2166","affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052391290","display_name":"Qingpeng Zhang","orcid":"https://orcid.org/0000-0002-6819-0686"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qingpeng Zhang","raw_affiliation_strings":["School of Data Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-6819-0686","affiliations":[{"raw_affiliation_string":"School of Data Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016704080","display_name":"Qi Xuan","orcid":"https://orcid.org/0000-0002-1042-470X"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Xuan","raw_affiliation_strings":["Big Search in Cyberspace Research Center, Zhejiang Laboratory, Hangzhou, China","Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1042-470X","affiliations":[{"raw_affiliation_string":"Big Search in Cyberspace Research Center, Zhejiang Laboratory, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Institute of Cyberspace Security, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":9.3626,"has_fulltext":false,"cited_by_count":197,"citation_normalized_percentile":{"value":0.98734411,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"51","issue":"6","first_page":"3699","last_page":"3712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8571673631668091},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.6622188091278076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6597366333007812},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5992753505706787},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5782579183578491},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4809214770793915},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4765116274356842},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4665963649749756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4633173942565918},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.41294577717781067},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3779110014438629}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8571673631668091},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.6622188091278076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6597366333007812},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5992753505706787},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5782579183578491},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4809214770793915},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4765116274356842},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4665963649749756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4633173942565918},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.41294577717781067},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3779110014438629},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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:10.1109/tsmc.2019.2932913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2019.2932913","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4242601449","display_name":"\u5728\u7ebf\u5fc3\u7406\u5065\u5eb7\u793e\u533a\u4e2d\u7684\u6210\u5458\u89d2\u8272\u6f14\u5316\u89c4\u5f8b\u53ca\u5176\u5bf9\u793e\u7fa4\u53d1\u5c55\u7684\u5f71\u54cd\uff1a\u4ee5\u6291\u90c1\u75c7\u4e3a\u4f8b","funder_award_id":"71672163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4527305417","display_name":null,"funder_award_id":"61973273","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6729082687","display_name":"\u57fa\u4e8e\u514d\u75ab\u673a\u5236\u7684\u65e0\u7ebf\u4f20\u611f\u5668\u7f51\u7edc\u653b\u51fb\u534f\u540c\u68c0\u6d4b\u7814\u7a76\u4e0e\u8bbe\u8ba1","funder_award_id":"61502423","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G731995413","display_name":"\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u5b89\u5168\u9632\u62a4\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"LY19F020025","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G7918413049","display_name":"\u4efb\u52a1\u9a71\u52a8\u793e\u4f1a\u7f51\u7edc\u5b9e\u8bc1\u7814\u7a76","funder_award_id":"61572439","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8366387292","display_name":"\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u591a\u5c42\u65f6\u6548\u7f51\u7edc\u6570\u636e\u5206\u6790\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"LR19F030001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W114534726","https://openalex.org/W1556758605","https://openalex.org/W1598796236","https://openalex.org/W1889624880","https://openalex.org/W1921523184","https://openalex.org/W1924770834","https://openalex.org/W1970240724","https://openalex.org/W1979104937","https://openalex.org/W1982898115","https://openalex.org/W1989704868","https://openalex.org/W2003992171","https://openalex.org/W2007444087","https://openalex.org/W2030841755","https://openalex.org/W2088412871","https://openalex.org/W2091019377","https://openalex.org/W2116261113","https://openalex.org/W2146143400","https://openalex.org/W2154249783","https://openalex.org/W2154851992","https://openalex.org/W2187089797","https://openalex.org/W2208595703","https://openalex.org/W2291005623","https://openalex.org/W2294347342","https://openalex.org/W2386195190","https://openalex.org/W2393319904","https://openalex.org/W2395547683","https://openalex.org/W2419069506","https://openalex.org/W2520512868","https://openalex.org/W2594855514","https://openalex.org/W2612872092","https://openalex.org/W2613103167","https://openalex.org/W2733511975","https://openalex.org/W2734722833","https://openalex.org/W2762115787","https://openalex.org/W2763388400","https://openalex.org/W2770877080","https://openalex.org/W2777190022","https://openalex.org/W2778352504","https://openalex.org/W2782823532","https://openalex.org/W2787927827","https://openalex.org/W2789443491","https://openalex.org/W2798918712","https://openalex.org/W2800223556","https://openalex.org/W2804558096","https://openalex.org/W2806244818","https://openalex.org/W2806622027","https://openalex.org/W2806983170","https://openalex.org/W2808771744","https://openalex.org/W2890018557","https://openalex.org/W2895177843","https://openalex.org/W2962756421","https://openalex.org/W2963885834","https://openalex.org/W2964015378","https://openalex.org/W2964117853","https://openalex.org/W2964295282","https://openalex.org/W2964335273","https://openalex.org/W3104097132","https://openalex.org/W3111962319","https://openalex.org/W6639497327","https://openalex.org/W6640185926","https://openalex.org/W6640212811","https://openalex.org/W6697195335","https://openalex.org/W6726873649","https://openalex.org/W6746459935","https://openalex.org/W6751747363"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W1889624880","https://openalex.org/W2229372569"],"abstract_inverted_index":{"Predicting":[0],"the":[1,39,65,82,121,130,137,174,180,199],"potential":[2],"relations":[3],"between":[4],"nodes":[5,44],"in":[6,17,90,94,152,167,179],"networks,":[7,69],"known":[8],"as":[9],"link":[10,26,49,150],"prediction,":[11],"has":[12,53],"long":[13,86],"been":[14,54],"a":[15,99,168],"challenge":[16],"network":[18,48,181],"science.":[19],"However,":[20],"most":[21,72],"studies":[22],"just":[23],"focused":[24],"on":[25],"prediction":[27,50,78,117,151],"of":[28,43,68,85,123,132],"static":[29],"network,":[30],"while":[31],"real-world":[32],"networks":[33,122],"always":[34],"evolve":[35],"over":[36],"time":[37,92,139],"with":[38,126,143],"occurrence":[40],"and":[41,45,57,119,164,197],"vanishing":[42],"links.":[46],"Dynamic":[47],"(DNLP)":[51],"thus":[52],"attracting":[55],"more":[56,58],"attention":[59],"since":[60],"it":[61,135],"can":[62,172],"better":[63],"capture":[64],"evolution":[66],"nature":[67],"but":[70],"still":[71],"algorithms":[73],"fail":[74],"to":[75,106,111,149,160],"achieve":[76],"satisfied":[77],"accuracy.":[79],"Motivated":[80],"by":[81],"excellent":[83],"performance":[84],"short-term":[87],"memory":[88],"(LSTM)":[89],"processing":[91],"series,":[93],"this":[95],"article,":[96],"we":[97],"propose":[98],"novel":[100],"encoder-LSTM-decoder":[101],"(E-LSTM-D)":[102],"deep":[103],"learning":[104],"model":[105,157,190],"predict":[107,173],"dynamic":[108,153],"links":[109,175],"end":[110],"end.":[112],"It":[113],"could":[114],"handle":[115],"long-term":[116],"problems,":[118],"suits":[120],"different":[124],"scales":[125],"fine-tuned":[127],"structure.":[128],"To":[129],"best":[131],"our":[133,188],"knowledge,":[134],"is":[136,147,158],"first":[138],"that":[140,176,187],"LSTM,":[141],"together":[142],"an":[144],"encoder-decoder":[145],"architecture,":[146],"applied":[148],"networks.":[154],"This":[155],"new":[156],"able":[159],"automatically":[161],"learn":[162],"structural":[163],"temporal":[165],"features":[166],"unified":[169],"framework,":[170],"which":[171],"never":[177],"appear":[178],"before.":[182],"The":[183],"extensive":[184],"experiments":[185],"show":[186],"E-LSTM-D":[189],"significantly":[191],"outperforms":[192],"newly":[193],"proposed":[194],"DNLP":[195],"methods":[196],"obtain":[198],"state-of-the-art":[200],"results.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":34},{"year":2023,"cited_by_count":49},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}