{"id":"https://openalex.org/W2735426601","doi":"https://doi.org/10.1109/ijcnn.2017.7966001","title":"A generative model with hypergraph regularizers for protein function prediction","display_name":"A generative model with hypergraph regularizers for protein function prediction","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735426601","doi":"https://doi.org/10.1109/ijcnn.2017.7966001","mag":"2735426601"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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/A5101842705","display_name":"Shaokai Wang","orcid":"https://orcid.org/0000-0002-3896-8266"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaokai Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063318300","display_name":"Xutao Li","orcid":"https://orcid.org/0000-0003-1894-984X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xutao Li","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002523892","display_name":"Yunming Ye","orcid":"https://orcid.org/0000-0002-1807-8581"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunming Ye","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101808344","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-7784-9788"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["School of Computer Engineering, Shenzhen Polytechnic, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Shenzhen Polytechnic, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052480553","display_name":"Xiaohui Huang","orcid":"https://orcid.org/0000-0001-7269-4484"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Huang","raw_affiliation_strings":["School of Information Engineering Department, East China Jiaotong University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering Department, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000489494","display_name":"Xiaolin Du","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Du","raw_affiliation_strings":["College of Computer Science, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06408934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1289","last_page":"1296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.993399977684021,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/hypergraph","display_name":"Hypergraph","score":0.878593385219574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7003300786018372},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6101236343383789},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5317189693450928},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.48880335688591003},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47545310854911804},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46030738949775696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44688692688941956},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4159679114818573},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3255201280117035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15959349274635315},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07934337854385376}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.878593385219574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7003300786018372},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6101236343383789},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5317189693450928},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.48880335688591003},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47545310854911804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46030738949775696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44688692688941956},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4159679114818573},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3255201280117035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15959349274635315},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07934337854385376},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966001","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","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":29,"referenced_works":["https://openalex.org/W159599920","https://openalex.org/W189164464","https://openalex.org/W816459170","https://openalex.org/W831907635","https://openalex.org/W1957476735","https://openalex.org/W1984794455","https://openalex.org/W1992851697","https://openalex.org/W2045489348","https://openalex.org/W2049170138","https://openalex.org/W2069116068","https://openalex.org/W2083184875","https://openalex.org/W2087782437","https://openalex.org/W2088748973","https://openalex.org/W2092714248","https://openalex.org/W2112104211","https://openalex.org/W2114315281","https://openalex.org/W2120688086","https://openalex.org/W2134604967","https://openalex.org/W2137253512","https://openalex.org/W2145827727","https://openalex.org/W2152086853","https://openalex.org/W2153635508","https://openalex.org/W2163844901","https://openalex.org/W2166468869","https://openalex.org/W2170057991","https://openalex.org/W2325130050","https://openalex.org/W4233135949","https://openalex.org/W6680278043","https://openalex.org/W6685083254"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W2280377497","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W3174044702","https://openalex.org/W2967848559","https://openalex.org/W4283803360"],"abstract_inverted_index":{"Heterogeneous":[0],"data":[1,16,30,75],"sources":[2,31,76],"and":[3,32,88],"multi-label":[4,33],"are":[5,42,78],"two":[6,18],"important":[7],"characteristics":[8],"of":[9,24,47,100,105],"protein":[10,15,37,81],"function":[11],"prediction.":[12],"They":[13],"describe":[14],"from":[17],"different":[19],"aspects.":[20],"However,":[21],"it":[22],"is":[23],"considerable":[25],"challenge":[26],"to":[27],"integrate":[28],"multiple":[29,68],"simultaneously":[34],"for":[35,64],"predicting":[36,65,97],"functions,":[38],"especially":[39],"when":[40],"there":[41],"only":[43],"a":[44,55],"limited":[45],"number":[46],"labeled":[48],"proteins.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53],"propose":[54],"generative":[56],"model":[57],"with":[58,67,110],"hypergraph":[59],"regularizers":[60],"algorithm,":[61],"called":[62],"GMHR,":[63],"proteins":[66,101],"functions.":[69],"The":[70],"GMHR":[71],"algorithm":[72],"integrates":[73],"all":[74],"that":[77],"available,":[79],"including":[80],"attribute":[82],"features,":[83],"interaction":[84],"networks,":[85],"label":[86],"correlations,":[87],"unlabeled":[89],"data.":[90],"Experimental":[91],"results":[92],"on":[93],"the":[94,98,103,111],"real-world":[95],"datasets":[96],"functions":[99],"demonstrate":[102],"superiority":[104],"our":[106],"proposed":[107],"method":[108],"compared":[109],"state-of-the-art":[112],"baselines.":[113]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}