{"id":"https://openalex.org/W4399767776","doi":"https://doi.org/10.1109/jiot.2024.3415612","title":"Tensor Representation-Based Multiview Graph Contrastive Learning for IoE Intelligence","display_name":"Tensor Representation-Based Multiview Graph Contrastive Learning for IoE Intelligence","publication_year":2024,"publication_date":"2024-06-18","ids":{"openalex":"https://openalex.org/W4399767776","doi":"https://doi.org/10.1109/jiot.2024.3415612"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3415612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3415612","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-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/A5086470221","display_name":"Yuan Gao","orcid":"https://orcid.org/0000-0003-4096-9134"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Gao","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","School of Computer Science and Technology, Hainan University, Haikou, China"],"raw_orcid":"https://orcid.org/0000-0003-4096-9134","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051831948","display_name":"Qian Zhao","orcid":"https://orcid.org/0000-0003-0032-1974"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Hainan University, Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049154222","display_name":"Laurence T. Yang","orcid":"https://orcid.org/0000-0002-7986-4244"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laurence T. Yang","raw_affiliation_strings":["School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7986-4244","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jing Yang","orcid":"https://orcid.org/0009-0000-4682-4839"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","School of Computer Science and Technology, Hainan University, Haikou, China"],"raw_orcid":"https://orcid.org/0009-0000-4682-4839","affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101405613","display_name":"Jieming Yang","orcid":"https://orcid.org/0000-0002-2832-2648"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieming Yang","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","School of Computer Science and Technology, Hainan University, Haikou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Computer Science and Technology, Hainan University, Haikou, China","institution_ids":["https://openalex.org/I20942203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3122,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55634624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"12","issue":"4","first_page":"3482","last_page":"3492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9276000261306763,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9276000261306763,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9241999983787537,"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/T11122","display_name":"Online Learning and Analytics","score":0.9088000059127808,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.7713964581489563},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4622717797756195},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4550243020057678},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.44976645708084106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4408326745033264},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.42553064227104187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11819171905517578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713964581489563},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4622717797756195},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4550243020057678},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.44976645708084106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4408326745033264},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42553064227104187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11819171905517578},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2024.3415612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3415612","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G214697123","display_name":null,"funder_award_id":"62302130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2100495367","https://openalex.org/W2139208832","https://openalex.org/W2808409763","https://openalex.org/W2964732194","https://openalex.org/W2966502719","https://openalex.org/W2972209102","https://openalex.org/W3004946360","https://openalex.org/W3012918605","https://openalex.org/W3034903580","https://openalex.org/W3040213512","https://openalex.org/W3080644389","https://openalex.org/W3095746859","https://openalex.org/W3158164473","https://openalex.org/W3169978599","https://openalex.org/W3173294575","https://openalex.org/W3173972271","https://openalex.org/W3176108833","https://openalex.org/W3188916965","https://openalex.org/W3210242454","https://openalex.org/W4226219101","https://openalex.org/W4288073539","https://openalex.org/W4312973985","https://openalex.org/W4313041774","https://openalex.org/W4362691848","https://openalex.org/W4382318469","https://openalex.org/W4382466430","https://openalex.org/W4392519498","https://openalex.org/W6685380521","https://openalex.org/W6730084236","https://openalex.org/W6779518175","https://openalex.org/W6783990618","https://openalex.org/W6784694379","https://openalex.org/W6789810805","https://openalex.org/W6802884933","https://openalex.org/W6803318553","https://openalex.org/W6804132654","https://openalex.org/W6841246528"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W4324271173","https://openalex.org/W1967645776","https://openalex.org/W2352227742","https://openalex.org/W4390679071","https://openalex.org/W3006966347"],"abstract_inverted_index":{"As":[0],"a":[1,97,116,191,214],"prevalent":[2],"computing":[3,6],"paradigm,":[4],"graph":[5,35,73,103,131,148],"provides":[7],"an":[8],"effective":[9,119],"service":[10],"strategy":[11],"for":[12,25],"the":[13,19,30,43,67,72,139,147,154,171,175,179,184,197,206,210,222],"analysis":[14],"of":[15,21,46,130,174,186,194,209],"big":[16],"data":[17,28,109,232],"within":[18],"Internet":[20],"Everything":[22],"(IoE),":[23],"particularly":[24],"clustering":[26,124,157,216,242],"graph-structured":[27,187],"in":[29,63,134],"IoE.":[31],"Among":[32],"various":[33],"methods,":[34],"contrastive":[36,102,132],"clustering,":[37],"which":[38,85],"is":[39,218],"devoted":[40],"to":[41,88,127,204,220],"revealing":[42],"intrinsic":[44],"structure":[45,149],"graphs":[47],"and":[48,75,81,115,141,150,165,168],"efficiently":[49],"grouping":[50],"nodes":[51,195],"into":[52],"distinct":[53],"clusters":[54],"by":[55,123,144],"contrasting":[56],"positive-negative":[57],"counterparts,":[58],"has":[59],"attracted":[60],"widely":[61],"attention":[62],"recent":[64],"years.":[65],"However,":[66],"existing":[68],"methods":[69],"seriously":[70],"ignore":[71],"topology":[74,140],"node":[76,89,152],"attributes":[77],"when":[78],"setting":[79],"positive":[80,164,202],"negative":[82,166],"sample":[83,112],"pairs,":[84],"further":[86],"leads":[87],"semantic":[90],"inconsistency.":[91],"To":[92],"this":[93],"end,":[94],"we":[95,189],"design":[96],"novel":[98],"tensor":[99],"representation-based":[100],"multiview":[101,151],"representation":[104],"learning":[105,133,180],"framework,":[106],"including":[107],"adaptive":[108],"augmentation,":[110],"high-confidence":[111],"pairs":[113],"construction,":[114],"simple":[117],"yet":[118],"self-optimizing":[120,215],"module":[121,217],"guided":[122],"objective":[125],"function,":[126],"address":[128],"issues":[129],"ignoring":[135],"complementary":[136],"information":[137],"among":[138],"attributes.":[142],"Specifically,":[143],"jointly":[145],"modeling":[146],"attributes,":[153],"new":[155],"proposed":[156,211,237],"model":[158],"can":[159,239],"concurrently":[160],"mine":[161],"both":[162],"hard":[163,176],"samples,":[167],"dynamically":[169],"enhance":[170,221],"weight":[172],"allocation":[173],"samples":[177,203],"during":[178],"process.":[181],"Then":[182],"leveraging":[183],"characteristics":[185],"data,":[188],"incorporate":[190],"small":[192],"subset":[193],"with":[196],"highest":[198],"similarity":[199],"as":[200],"additional":[201],"improve":[205],"discriminative":[207],"power":[208],"model.":[212],"Furthermore,":[213],"introduced":[219],"algorithm\u2019s":[223],"performance.":[224,243],"Experimental":[225],"results":[226],"on":[227],"four":[228],"commonly":[229],"used":[230],"IoE-related":[231],"sets":[233],"validate":[234],"that":[235],"our":[236],"approach":[238],"achieve":[240],"state-of-the-art":[241]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}