{"id":"https://openalex.org/W2611652343","doi":"https://doi.org/10.1109/globalsip.2016.7905879","title":"A scalable smooth graph learning method based on Bernoulli-Gaussian model","display_name":"A scalable smooth graph learning method based on Bernoulli-Gaussian model","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2611652343","doi":"https://doi.org/10.1109/globalsip.2016.7905879","mag":"2611652343"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2016.7905879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7905879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5100429004","display_name":"Jun Sun","orcid":"https://orcid.org/0000-0002-3545-1392"},"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"]},{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Sun","raw_affiliation_strings":["The State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I55712492","https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047044643","display_name":"Zaiyue Yang","orcid":"https://orcid.org/0000-0002-8288-3833"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]},{"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":"Zaiyue Yang","raw_affiliation_strings":["The State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I55712492","https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055589153","display_name":"Xiufang Shi","orcid":"https://orcid.org/0000-0002-2945-8344"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]},{"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":"Xiufang Shi","raw_affiliation_strings":["The State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I55712492","https://openalex.org/I4391767838"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100429004"],"corresponding_institution_ids":["https://openalex.org/I4391767838","https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13068752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"290","issue":null,"first_page":"435","last_page":"439"},"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":0.9976000189781189,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9959999918937683,"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":0.5390194654464722},{"id":"https://openalex.org/keywords/graph-bandwidth","display_name":"Graph bandwidth","score":0.5150746703147888},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.4820714592933655},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4677852392196655},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.46164077520370483},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.454006165266037},{"id":"https://openalex.org/keywords/strength-of-a-graph","display_name":"Strength of a graph","score":0.45123064517974854},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.43665772676467896},{"id":"https://openalex.org/keywords/spectral-graph-theory","display_name":"Spectral graph theory","score":0.4303811192512512},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4280272126197815},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36979299783706665},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.27152931690216064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18983006477355957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5390194654464722},{"id":"https://openalex.org/C134727501","wikidata":"https://www.wikidata.org/wiki/Q5597073","display_name":"Graph bandwidth","level":5,"score":0.5150746703147888},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.4820714592933655},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4677852392196655},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.46164077520370483},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.454006165266037},{"id":"https://openalex.org/C19332903","wikidata":"https://www.wikidata.org/wiki/Q7623247","display_name":"Strength of a graph","level":5,"score":0.45123064517974854},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.43665772676467896},{"id":"https://openalex.org/C74003402","wikidata":"https://www.wikidata.org/wiki/Q3180727","display_name":"Spectral graph theory","level":5,"score":0.4303811192512512},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4280272126197815},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36979299783706665},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.27152931690216064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18983006477355957},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2016.7905879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7905879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1544422618","https://openalex.org/W1555827348","https://openalex.org/W1576838924","https://openalex.org/W1690143098","https://openalex.org/W1698699930","https://openalex.org/W1968865278","https://openalex.org/W1991252559","https://openalex.org/W2001141328","https://openalex.org/W2053186076","https://openalex.org/W2054022051","https://openalex.org/W2083177649","https://openalex.org/W2101491865","https://openalex.org/W2123107972","https://openalex.org/W2129638195","https://openalex.org/W2140245639","https://openalex.org/W2140556288","https://openalex.org/W2148068777","https://openalex.org/W2148578298","https://openalex.org/W2161763921","https://openalex.org/W2344886487","https://openalex.org/W2346452219","https://openalex.org/W2469963130","https://openalex.org/W2952964368","https://openalex.org/W4235713725","https://openalex.org/W4250955649","https://openalex.org/W6634494761","https://openalex.org/W6719831127"],"related_works":["https://openalex.org/W4292450760","https://openalex.org/W2271729023","https://openalex.org/W2288573173","https://openalex.org/W2962752727","https://openalex.org/W2018695296","https://openalex.org/W2014355235","https://openalex.org/W2044854887","https://openalex.org/W2767990547","https://openalex.org/W2124312992","https://openalex.org/W4315589172"],"abstract_inverted_index":{"The":[0,33],"graph":[1,7,25,89,100],"topology":[2],"is":[3,35,51],"the":[4,27,31,38,69,85,88,92,96],"basis":[5],"of":[6,87,99],"signal":[8],"processing.":[9],"This":[10,53],"paper":[11,54],"investigates":[12],"how":[13],"to":[14,59],"learn":[15],"a":[16,47,56,62],"smooth":[17,65],"and":[18,42,64],"sparse":[19,63],"weight":[20],"matrix":[21],"for":[22],"an":[23],"undirected":[24],"from":[26,45],"signals":[28],"observed":[29],"on":[30,37],"graph.":[32,66],"idea":[34],"based":[36],"locally":[39],"linear":[40],"embedding":[41],"Bernoulli-Gaussian":[43],"model,":[44],"which":[46],"nonconvex":[48],"optimization":[49],"problem":[50],"derived.":[52],"introduces":[55],"scalable":[57],"algorithm":[58,75],"work":[60],"out":[61],"Compared":[67],"with":[68],"L":[70],"\u03b9":[71],"relaxation":[72],"method,":[73],"our":[74],"can":[76],"obtain":[77],"suboptimal":[78],"solution":[79],"more":[80],"efficiently.":[81],"Numerical":[82],"results":[83],"illustrate":[84],"advantages":[86],"constructed":[90],"by":[91],"proposed":[93],"method":[94],"in":[95],"frequency":[97],"analysis":[98],"signals.":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}