{"id":"https://openalex.org/W3092084929","doi":"https://doi.org/10.1109/tnnls.2020.3027552","title":"Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs","display_name":"Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs","publication_year":2020,"publication_date":"2020-10-13","ids":{"openalex":"https://openalex.org/W3092084929","doi":"https://doi.org/10.1109/tnnls.2020.3027552","mag":"3092084929","pmid":"https://pubmed.ncbi.nlm.nih.gov/33048764"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3027552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3027552","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5065331390","display_name":"Jiaxu Cui","orcid":"https://orcid.org/0000-0002-4922-0915"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaxu Cui","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028694889","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0003-1927-8419"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090675556","display_name":"Bingyi Sun","orcid":"https://orcid.org/0000-0003-2189-9687"},"institutions":[{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyi Sun","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China","Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I4210134929","https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068477431","display_name":"Xia Hu","orcid":"https://orcid.org/0000-0003-2234-3226"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xia Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&#x0026;M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&#x0026;M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062375227","display_name":"Jiming Liu","orcid":"https://orcid.org/0000-0002-8669-9064"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiming Liu","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065331390"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.637027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"33","issue":"1","first_page":"103","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9941999912261963,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9941999912261963,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9911999702453613,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9818999767303467,"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/scalability","display_name":"Scalability","score":0.8215018510818481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7499690055847168},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5544136762619019},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5437551140785217},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5226671099662781},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5177847146987915},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.5114518404006958},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5073158144950867},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.452066034078598},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.44564899802207947},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4147326350212097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39869290590286255},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3922993242740631}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8215018510818481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499690055847168},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5544136762619019},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5437551140785217},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5226671099662781},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5177847146987915},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.5114518404006958},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5073158144950867},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.452066034078598},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.44564899802207947},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4147326350212097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39869290590286255},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3922993242740631},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3027552","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3027552","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33048764","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33048764","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G1783126079","display_name":null,"funder_award_id":"61876069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1952396377","display_name":null,"funder_award_id":"20200201036JC","funder_id":"https://openalex.org/F4320310121","funder_display_name":"Natural Science Foundation of Jilin Province"},{"id":"https://openalex.org/G4489279732","display_name":null,"funder_award_id":"61572226","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310121","display_name":"Natural Science Foundation of Jilin Province","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W1492230849","https://openalex.org/W1494192115","https://openalex.org/W1738827650","https://openalex.org/W1801692324","https://openalex.org/W1975147762","https://openalex.org/W1982792699","https://openalex.org/W1987161519","https://openalex.org/W2003912133","https://openalex.org/W2006584804","https://openalex.org/W2008857988","https://openalex.org/W2019512103","https://openalex.org/W2023818227","https://openalex.org/W2027482274","https://openalex.org/W2030976617","https://openalex.org/W2034549041","https://openalex.org/W2052108960","https://openalex.org/W2076498053","https://openalex.org/W2093286150","https://openalex.org/W2116341502","https://openalex.org/W2117561707","https://openalex.org/W2134164499","https://openalex.org/W2136213468","https://openalex.org/W2139906443","https://openalex.org/W2147286743","https://openalex.org/W2160592148","https://openalex.org/W2166681504","https://openalex.org/W2192203593","https://openalex.org/W2257693673","https://openalex.org/W2290847742","https://openalex.org/W2529996553","https://openalex.org/W2558748708","https://openalex.org/W2604314403","https://openalex.org/W2605101405","https://openalex.org/W2611491469","https://openalex.org/W2622489478","https://openalex.org/W2782639338","https://openalex.org/W2782914678","https://openalex.org/W2790266074","https://openalex.org/W2798675406","https://openalex.org/W2805516822","https://openalex.org/W2810026216","https://openalex.org/W2907492528","https://openalex.org/W2949649089","https://openalex.org/W2963280944","https://openalex.org/W2964024268","https://openalex.org/W2973945123","https://openalex.org/W3100157108","https://openalex.org/W4211049957","https://openalex.org/W6631190155","https://openalex.org/W6637178625","https://openalex.org/W6638209102","https://openalex.org/W6639099100","https://openalex.org/W6677764299","https://openalex.org/W6678911119","https://openalex.org/W6679958564","https://openalex.org/W6713582119","https://openalex.org/W6718609478","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6730269975","https://openalex.org/W6733974131","https://openalex.org/W6738826578","https://openalex.org/W6747927160","https://openalex.org/W6748587240","https://openalex.org/W6751016698","https://openalex.org/W6751455638","https://openalex.org/W6751796012","https://openalex.org/W6754578475","https://openalex.org/W6754582438","https://openalex.org/W6754929296","https://openalex.org/W6756527221","https://openalex.org/W6764988152","https://openalex.org/W7000687849","https://openalex.org/W7065437122"],"related_works":["https://openalex.org/W3106461837","https://openalex.org/W4283700523","https://openalex.org/W3168182983","https://openalex.org/W4387079005","https://openalex.org/W4321472004","https://openalex.org/W4221166418","https://openalex.org/W2968265130","https://openalex.org/W2973085194","https://openalex.org/W3117893869","https://openalex.org/W4401858220"],"abstract_inverted_index":{"We":[0,50],"propose":[1],"a":[2,17],"general":[3],"and":[4,35,64,70],"scalable":[5],"global":[6],"optimization":[7],"framework":[8],"directly":[9],"operating":[10],"on":[11,55,61],"annotated":[12],"graph":[13,19],"data":[14],"by":[15],"introducing":[16],"Bayesian":[18],"neural":[20],"network":[21,73],"to":[22],"approximate":[23],"the":[24,29,40,76,79,84,88],"expensive-to-evaluate":[25],"objectives.":[26],"It":[27],"prevents":[28],"cubical":[30],"complexity":[31],"of":[32,42,78,87],"Gaussian":[33],"processes":[34],"can":[36],"scale":[37],"linearly":[38],"with":[39,83],"number":[41],"observations.":[43],"Its":[44],"parallelized":[45],"variant":[46],"makes":[47],"it":[48],"scalable.":[49],"provide":[51],"strict":[52],"theoretical":[53],"support":[54],"its":[56],"convergence.":[57],"Intensive":[58],"experiments":[59],"conducted":[60],"both":[62],"artificial":[63],"real-world":[65],"problems,":[66],"including":[67],"molecular":[68],"discovery":[69],"urban":[71],"road":[72],"design,":[74],"demonstrate":[75],"effectiveness":[77],"proposed":[80],"methods":[81],"compared":[82],"current":[85],"state":[86],"art.":[89]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
