{"id":"https://openalex.org/W3091568143","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206649","title":"Graph Convolutional Extreme Learning Machine","display_name":"Graph Convolutional Extreme Learning Machine","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3091568143","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206649","mag":"3091568143"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5048323018","display_name":"Zijia Zhang","orcid":"https://orcid.org/0000-0001-9034-009X"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zijia Zhang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044359278","display_name":"Yaoming Cai","orcid":"https://orcid.org/0000-0002-2609-3036"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoming Cai","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013105439","display_name":"Wenyin Gong","orcid":"https://orcid.org/0000-0003-1610-6865"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyin Gong","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062400971","display_name":"Xiaobo Liu","orcid":"https://orcid.org/0000-0001-8298-7715"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Liu","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","School of Automation, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Automation, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038861185","display_name":"Zhihua Cai","orcid":"https://orcid.org/0000-0003-0020-6503"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Cai","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048323018"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":0.6628,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76224179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9783999919891357,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.793097972869873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7458572387695312},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6390939950942993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5661309957504272},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.46832019090652466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40749573707580566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3866725265979767},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3567216992378235}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.793097972869873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7458572387695312},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6390939950942993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5661309957504272},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.46832019090652466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40749573707580566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3866725265979767},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3567216992378235},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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":43,"referenced_works":["https://openalex.org/W1972524915","https://openalex.org/W1983946671","https://openalex.org/W1992300915","https://openalex.org/W1993962865","https://openalex.org/W2012638612","https://openalex.org/W2040356073","https://openalex.org/W2042184006","https://openalex.org/W2057301118","https://openalex.org/W2083785006","https://openalex.org/W2104290444","https://openalex.org/W2107008379","https://openalex.org/W2111072639","https://openalex.org/W2113244375","https://openalex.org/W2121971770","https://openalex.org/W2168880067","https://openalex.org/W2289977264","https://openalex.org/W2417947228","https://openalex.org/W2519887557","https://openalex.org/W2555714304","https://openalex.org/W2575234888","https://openalex.org/W2808233078","https://openalex.org/W2886084313","https://openalex.org/W2905224888","https://openalex.org/W2912162873","https://openalex.org/W2937638900","https://openalex.org/W2962949934","https://openalex.org/W2963175158","https://openalex.org/W2964015378","https://openalex.org/W2964051675","https://openalex.org/W2964113829","https://openalex.org/W2997701990","https://openalex.org/W3105005050","https://openalex.org/W3152893301","https://openalex.org/W4210257598","https://openalex.org/W6648445850","https://openalex.org/W6664839488","https://openalex.org/W6675747103","https://openalex.org/W6676132248","https://openalex.org/W6685350579","https://openalex.org/W6726873649","https://openalex.org/W6748141922","https://openalex.org/W6757374366","https://openalex.org/W6807384801"],"related_works":["https://openalex.org/W2969890106","https://openalex.org/W2905251838","https://openalex.org/W2513638114","https://openalex.org/W3210156800","https://openalex.org/W3033485676","https://openalex.org/W4311865232","https://openalex.org/W3166049060","https://openalex.org/W4284678096","https://openalex.org/W2904380457","https://openalex.org/W58770712"],"abstract_inverted_index":{"Extreme":[0,56],"Learning":[1,57],"Machine":[2,58],"(ELM)":[3],"has":[4],"gained":[5],"lots":[6],"of":[7,78,87,134],"research":[8],"interest":[9],"due":[10],"to":[11,40,73,107],"its":[12],"universal":[13],"approximation":[14],"capability":[15,86],"and":[16,33,36,126],"fast":[17],"learning":[18,129],"speed.":[19,130],"However,":[20],"traditional":[21],"ELMs":[22],"are":[23],"devised":[24],"for":[25,62],"regular":[26],"Euclidean":[27],"data,":[28,42],"such":[29],"as":[30,60],"2D":[31],"grid":[32],"1D":[34],"sequence,":[35],"thus":[37],"don't":[38],"apply":[39],"non-Euclidean":[41],"e.g.,":[43],"graph-structured":[44,90],"data.":[45],"To":[46,93,131],"overcome":[47],"this":[48,50,137],"shortcoming,":[49],"paper":[51],"presents":[52],"a":[53,66,95,102,109],"Graph":[54],"Convolutional":[55],"(termed":[59],"GCELM)":[61],"semi-supervised":[63,124],"classification.":[64],"Technically,":[65],"random":[67,76],"graph":[68,97,144],"convolutional":[69],"layer":[70],"is":[71,105,138],"introduced":[72],"replace":[74],"the":[75,85,99,132,139],"projection":[77],"original":[79],"ELM,":[80],"which":[81],"endues":[82],"ELM":[83],"with":[84,89,127,146],"dealing":[88],"data":[91],"directly.":[92],"generate":[94],"robust":[96],"from":[98],"raw":[100],"dataset,":[101],"self-representation":[103],"model":[104],"adopted":[106],"construct":[108],"weighted":[110],"graph.":[111],"Extensive":[112],"experiments":[113],"on":[114],"27":[115],"UCI":[116],"datasets":[117],"demonstrate":[118],"that":[119,142],"GCELM":[120],"outperforms":[121],"many":[122],"popular":[123],"methods,":[125],"faster":[128],"best":[133],"our":[135],"knowledge,":[136],"first":[140],"work":[141],"combines":[143],"convolution":[145],"ELM.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}