{"id":"https://openalex.org/W4312895557","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892872","title":"HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors","display_name":"HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312895557","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892872"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892872","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026207516","display_name":"Yifan Wang","orcid":"https://orcid.org/0000-0001-7764-8698"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Wang","raw_affiliation_strings":["Peking University,School of Computer Science,Beijing,China","School of Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102723742","display_name":"Jianhao Shen","orcid":"https://orcid.org/0000-0002-4977-7959"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhao Shen","raw_affiliation_strings":["Peking University,School of Computer Science,Beijing,China","School of Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008481820","display_name":"Yiping Song","orcid":"https://orcid.org/0000-0002-3277-6351"},"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":"Yiping Song","raw_affiliation_strings":["National University of Defense Technology,College of Liberal Arts and Sciences,Changsha,China","College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Liberal Arts and Sciences,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Liberal Arts and Sciences, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371313","display_name":"Sheng Wang","orcid":"https://orcid.org/0000-0003-2696-2171"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210100791","display_name":"Paul G. Allen Family Foundation","ror":"https://ror.org/01degd278","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210100791"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheng Wang","raw_affiliation_strings":["University of Washington,Paul G. Allen School of Computer Science,Seattle,WA","Paul G. Allen School of Computer Science, University of Washington, Seattle, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington,Paul G. Allen School of Computer Science,Seattle,WA","institution_ids":["https://openalex.org/I201448701","https://openalex.org/I4210100791"]},{"raw_affiliation_string":"Paul G. Allen School of Computer Science, University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447260","display_name":"Ming Zhang","orcid":"https://orcid.org/0000-0002-3539-9205"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhang","raw_affiliation_strings":["Peking University,School of Computer Science,Beijing,China","School of Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,School of Computer Science,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9937000274658203,"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":0.9919999837875366,"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":0.791275680065155},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7293580770492554},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6325544118881226},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5403892993927002},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.46196478605270386},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.37942713499069214},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37295451760292053},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.36494356393814087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.165409117937088},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14223259687423706},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.061739563941955566},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.061717987060546875},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05550488829612732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.791275680065155},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7293580770492554},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6325544118881226},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5403892993927002},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.46196478605270386},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.37942713499069214},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37295451760292053},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.36494356393814087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.165409117937088},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14223259687423706},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.061739563941955566},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.061717987060546875},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05550488829612732},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892872","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1888005072","https://openalex.org/W2000942133","https://openalex.org/W2019767285","https://openalex.org/W2020934227","https://openalex.org/W2116341502","https://openalex.org/W2154851992","https://openalex.org/W2517417371","https://openalex.org/W2553723205","https://openalex.org/W2623187518","https://openalex.org/W2739805805","https://openalex.org/W2740454492","https://openalex.org/W2743104969","https://openalex.org/W2787927827","https://openalex.org/W2798918712","https://openalex.org/W2806983170","https://openalex.org/W2808087697","https://openalex.org/W2808908091","https://openalex.org/W2809441541","https://openalex.org/W2911286998","https://openalex.org/W2950898568","https://openalex.org/W2962948632","https://openalex.org/W2965683718","https://openalex.org/W2980537499","https://openalex.org/W3093563174","https://openalex.org/W3103254545","https://openalex.org/W3104097132","https://openalex.org/W3188081755","https://openalex.org/W3214095030","https://openalex.org/W4297571622","https://openalex.org/W6631190155","https://openalex.org/W6690815549","https://openalex.org/W6707620307","https://openalex.org/W6726226389","https://openalex.org/W6729802605","https://openalex.org/W6739733045","https://openalex.org/W6751747363","https://openalex.org/W6803813406"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W1927327903","https://openalex.org/W1544665982","https://openalex.org/W2022479666","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2805504328","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W2966686650"],"abstract_inverted_index":{"Large":[0],"amounts":[1],"of":[2,38,106,110,121,143],"user":[3,9,75,87,107,132],"behavior":[4,10,60,125],"data":[5,139],"provide":[6],"opportunities":[7],"for":[8,54,130],"modeling":[11,126],"and":[12,23,41,50,94,115,134],"have":[13],"great":[14],"potential":[15],"in":[16,56,62],"many":[17],"downstream":[18],"applications":[19],"such":[20,73],"as":[21,74,89],"advertising":[22],"anomaly":[24],"detection.":[25],"Compared":[26],"with":[27,80,137],"traditional":[28],"methods,":[29],"embedding-based":[30],"methods":[31,44],"are":[32,128],"used":[33,116],"more":[34],"often":[35],"recently":[36],"because":[37,70],"their":[39],"efficiency":[40],"scalability.":[42],"These":[43],"build":[45],"a":[46,90,96],"\u201cbehavior-entity\u201d":[47],"bipartite":[48],"graph":[49],"learn":[51],"static":[52,69],"embeddings":[53,120],"nodes":[55],"the":[57,63,103,119,141],"graph.":[58],"However,":[59],"patterns":[61],"real":[64],"world":[65],"could":[66],"not":[67],"be":[68],"entity":[71],"properties":[72],"interests":[76],"usually":[77],"evolve":[78],"along":[79],"time.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85],"formulate":[86],"behaviors":[88],"temporal":[91],"event":[92,112],"sequence":[93],"propose":[95],"stream":[97],"network":[98],"embedding":[99],"approach":[100,146],"to":[101,117],"capture":[102],"evolving":[104],"nature":[105],"behaviors.":[108],"Representation":[109],"each":[111],"is":[113],"built":[114],"update":[118],"nodes.":[122],"Two":[123],"contextual":[124],"tasks":[127],"studied":[129],"dynamic":[131],"behaviors,":[133],"experimental":[135],"results":[136],"real-world":[138],"demonstrate":[140],"effectiveness":[142],"our":[144],"proposed":[145],"over":[147],"several":[148],"competitive":[149],"baselines.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
