{"id":"https://openalex.org/W3137321390","doi":"https://doi.org/10.1109/bigdata50022.2020.9378022","title":"On Node Embedding of Uncertain Networks","display_name":"On Node Embedding of Uncertain Networks","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3137321390","doi":"https://doi.org/10.1109/bigdata50022.2020.9378022","mag":"3137321390"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5049381739","display_name":"Hoang H. Nguyen","orcid":"https://orcid.org/0000-0003-0611-4634"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hoang H. Nguyen","raw_affiliation_strings":["L3S Research Center Leibniz Universit\u00e4t Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"L3S Research Center Leibniz Universit\u00e4t Hannover, Germany","institution_ids":["https://openalex.org/I4210136150","https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076017695","display_name":"Sergej Zerr","orcid":"https://orcid.org/0000-0001-7587-8385"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sergej Zerr","raw_affiliation_strings":["L3S Research Center Leibniz Universit\u00e4t Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"L3S Research Center Leibniz Universit\u00e4t Hannover, Germany","institution_ids":["https://openalex.org/I4210136150","https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005512421","display_name":"Tuan-Anh Hoang","orcid":"https://orcid.org/0000-0003-3892-4762"},"institutions":[{"id":"https://openalex.org/I67868205","display_name":"VNU University of Science","ror":"https://ror.org/05w54hk79","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841","https://openalex.org/I67868205"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tuan-Anh Hoang","raw_affiliation_strings":["Faculty of Mathematics, Mechanics, and Informatics Hanoi University of Science, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics, Mechanics, and Informatics Hanoi University of Science, Vietnam","institution_ids":["https://openalex.org/I67868205"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21840752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5792","last_page":"5794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9948999881744385,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9279000163078308,"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/embedding","display_name":"Embedding","score":0.8872299194335938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7486958503723145},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.7336562871932983},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5819495916366577},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5172010660171509},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4062803089618683},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3781673014163971},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32475507259368896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2678857743740082},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10093992948532104}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8872299194335938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7486958503723145},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.7336562871932983},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5819495916366577},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5172010660171509},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4062803089618683},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3781673014163971},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32475507259368896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2678857743740082},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10093992948532104},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","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":40,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W1987869189","https://openalex.org/W1991711391","https://openalex.org/W1993112838","https://openalex.org/W1997987084","https://openalex.org/W2014430504","https://openalex.org/W2029682635","https://openalex.org/W2062711641","https://openalex.org/W2066303519","https://openalex.org/W2082565035","https://openalex.org/W2110096996","https://openalex.org/W2133695619","https://openalex.org/W2140280811","https://openalex.org/W2146130798","https://openalex.org/W2153579005","https://openalex.org/W2154851992","https://openalex.org/W2158501189","https://openalex.org/W2393319904","https://openalex.org/W2415243320","https://openalex.org/W2519887557","https://openalex.org/W2554565524","https://openalex.org/W2554952599","https://openalex.org/W2745750801","https://openalex.org/W2755088640","https://openalex.org/W2767304771","https://openalex.org/W2951289400","https://openalex.org/W2962756421","https://openalex.org/W2962975498","https://openalex.org/W2964015378","https://openalex.org/W3003365835","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W4294170691","https://openalex.org/W4322614756","https://openalex.org/W6649858639","https://openalex.org/W6679971624","https://openalex.org/W6682042988","https://openalex.org/W6682691769","https://openalex.org/W6726873649","https://openalex.org/W6730084236"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2088247287","https://openalex.org/W2932872266"],"abstract_inverted_index":{"Node":[0],"embedding":[1,18,46,59,97],"has":[2],"recently":[3],"shown":[4],"state-of-the-art":[5],"performance":[6,57],"in":[7,34,65],"various":[8],"network":[9,108],"analysis":[10],"tasks.":[11,70],"However,":[12],"most":[13],"of":[14,25,42,58,68,79],"the":[15,23,26,32,43,56,94,107],"existing":[16,95],"node":[17,45,96],"methods":[19,47,64,98],"do":[20],"not":[21],"consider":[22],"uncertainty":[24,105],"input":[27],"data,":[28],"which":[29],"is":[30,110],"often":[31],"case":[33],"practice.":[35],"This":[36],"work":[37],"offers":[38],"an":[39],"empirical":[40],"evaluation":[41],"typical":[44],"when":[48],"applied":[49],"on":[50,102],"uncertain":[51,80],"networks.":[52],"Precisely,":[53],"we":[54,74],"examine":[55],"vectors":[60],"obtained":[61],"by":[62],"these":[63],"a":[66,76],"set":[67],"downstream":[69],"To":[71],"this":[72],"end,":[73],"employ":[75],"wide":[77],"range":[78],"networks":[81,103],"and":[82],"traditional":[83],"prepossessing":[84],"techniques":[85],"for":[86],"dealing":[87],"with":[88,104],"uncertainty.":[89],"Our":[90],"findings":[91],"suggest":[92],"that":[93],"perform":[99],"practically":[100],"well":[101],"once":[106],"data":[109],"appropriately":[111],"prepossessed.":[112]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}