{"id":"https://openalex.org/W2920077503","doi":"https://doi.org/10.1109/tii.2019.2902877","title":"An Inductive Content-Augmented Network Embedding Model for Edge Artificial Intelligence","display_name":"An Inductive Content-Augmented Network Embedding Model for Edge Artificial Intelligence","publication_year":2019,"publication_date":"2019-03-04","ids":{"openalex":"https://openalex.org/W2920077503","doi":"https://doi.org/10.1109/tii.2019.2902877","mag":"2920077503"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2019.2902877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2902877","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10545/625150","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033786585","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0001-8401-321X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8401-321X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101416249","display_name":"John Panneerselvam","orcid":"https://orcid.org/0000-0002-0332-1681"},"institutions":[{"id":"https://openalex.org/I22128151","display_name":"University of Derby","ror":"https://ror.org/02yhrrk59","country_code":"GB","type":"education","lineage":["https://openalex.org/I22128151"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Panneerselvam","raw_affiliation_strings":["School of Electronics, Computing and Mathematics, University of Derby, Derby, U.K"],"raw_orcid":"https://orcid.org/0000-0002-0332-1681","affiliations":[{"raw_affiliation_string":"School of Electronics, Computing and Mathematics, University of Derby, Derby, U.K","institution_ids":["https://openalex.org/I22128151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002822427","display_name":"Lu Liu","orcid":"https://orcid.org/0000-0003-1013-4507"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lu Liu","raw_affiliation_strings":["Department of Informatics, University of Leicester, Leicester, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1013-4507","affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Leicester, Leicester, U.K","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111763447","display_name":"Nick Antonopoulos","orcid":null},"institutions":[{"id":"https://openalex.org/I251738","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91","country_code":"GB","type":"education","lineage":["https://openalex.org/I251738"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nick Antonopoulos","raw_affiliation_strings":["Edinburgh Napier University, Edinburgh, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edinburgh Napier University, Edinburgh, U.K","institution_ids":["https://openalex.org/I251738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026907508","display_name":"Yao Lu","orcid":"https://orcid.org/0000-0002-9873-8753"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Lu","raw_affiliation_strings":["School of Computer Science and Telecommunication Engineering and the Jiangsu Key Laboratory of Security Techniques for Industrial Cyberspace, Jiangsu University, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Telecommunication Engineering and the Jiangsu Key Laboratory of Security Techniques for Industrial Cyberspace, Jiangsu University, Jiangsu, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9766,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89475136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"7","first_page":"4295","last_page":"4305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9990000128746033,"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":0.9990000128746033,"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/T11478","display_name":"Caching and Content Delivery","score":0.9965999722480774,"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/T12676","display_name":"Machine Learning and ELM","score":0.9912999868392944,"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":0.7895164489746094},{"id":"https://openalex.org/keywords/provisioning","display_name":"Provisioning","score":0.5224184989929199},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4749614894390106},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4635414779186249},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4592267572879791},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.44836753606796265},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4411526322364807},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4291076362133026},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4254749119281769},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.41339945793151855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4133661389350891},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39953866600990295},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1890740990638733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7895164489746094},{"id":"https://openalex.org/C172191483","wikidata":"https://www.wikidata.org/wiki/Q1071806","display_name":"Provisioning","level":2,"score":0.5224184989929199},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4749614894390106},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4635414779186249},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4592267572879791},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.44836753606796265},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4411526322364807},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4291076362133026},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4254749119281769},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.41339945793151855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4133661389350891},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39953866600990295},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1890740990638733},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tii.2019.2902877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2902877","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:oai:repository@napier.ac.uk:1995495","is_oa":false,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/1995495","pdf_url":null,"source":{"id":"https://openalex.org/S4306402591","display_name":"Edinburgh Napier Research Repository (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:derby.openrepository.com:10545/625150","is_oa":true,"landing_page_url":"http://hdl.handle.net/10545/625150","pdf_url":null,"source":{"id":"https://openalex.org/S4306402138","display_name":"University of Derby Online Research Archive. (University of Derby)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I22128151","host_organization_name":"University of Derby","host_organization_lineage":["https://openalex.org/I22128151"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"Article"},{"id":"pmh:oai:figshare.com:article/10244792","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/An_Inductive_Content-Augmented_Network_Embedding_Model_for_Edge_Artificial_Intelligence/10244792","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:lra.le.ac.uk:2381/43931","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/8658146","pdf_url":null,"source":{"id":"https://openalex.org/S4306402365","display_name":"Leicester Research Archive (University of Leicester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I153648349","host_organization_name":"University of Leicester","host_organization_lineage":["https://openalex.org/I153648349"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:derby.openrepository.com:10545/625150","is_oa":true,"landing_page_url":"http://hdl.handle.net/10545/625150","pdf_url":null,"source":{"id":"https://openalex.org/S4306402138","display_name":"University of Derby Online Research Archive. (University of Derby)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I22128151","host_organization_name":"University of Derby","host_organization_lineage":["https://openalex.org/I22128151"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"Article"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G853535330","display_name":null,"funder_award_id":"BK20170069","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W114517082","https://openalex.org/W1614298861","https://openalex.org/W1840106123","https://openalex.org/W1985852691","https://openalex.org/W2027934162","https://openalex.org/W2028501442","https://openalex.org/W2061860832","https://openalex.org/W2064675550","https://openalex.org/W2130354913","https://openalex.org/W2131571251","https://openalex.org/W2153579005","https://openalex.org/W2154851992","https://openalex.org/W2166706236","https://openalex.org/W2187089797","https://openalex.org/W2226252878","https://openalex.org/W2242161203","https://openalex.org/W2327524664","https://openalex.org/W2387462954","https://openalex.org/W2467185810","https://openalex.org/W2558748708","https://openalex.org/W2579641452","https://openalex.org/W2615528888","https://openalex.org/W2748668722","https://openalex.org/W2770404322","https://openalex.org/W2790123945","https://openalex.org/W2796167946","https://openalex.org/W2888128175","https://openalex.org/W2896808365","https://openalex.org/W2908529777","https://openalex.org/W2949384567","https://openalex.org/W2950577311","https://openalex.org/W2962756421","https://openalex.org/W2962767366","https://openalex.org/W2963224980","https://openalex.org/W2963433607","https://openalex.org/W2964145825","https://openalex.org/W3104097132","https://openalex.org/W4294170691","https://openalex.org/W4294558607","https://openalex.org/W6602002561","https://openalex.org/W6604653223","https://openalex.org/W6636510571","https://openalex.org/W6679713772","https://openalex.org/W6682691769","https://openalex.org/W6684249991","https://openalex.org/W6690230747","https://openalex.org/W6713582119","https://openalex.org/W6732571480","https://openalex.org/W6738964360","https://openalex.org/W6743031260","https://openalex.org/W6749929118"],"related_works":["https://openalex.org/W2017432143","https://openalex.org/W1973694374","https://openalex.org/W2983574358","https://openalex.org/W2370475531","https://openalex.org/W4385924768","https://openalex.org/W4256551238","https://openalex.org/W2610550183","https://openalex.org/W2258161702","https://openalex.org/W2207720586","https://openalex.org/W4386390011"],"abstract_inverted_index":{"Real-time":[0],"data":[1],"processing":[2],"applications":[3],"demand":[4],"dynamic":[5],"resource":[6,28,97,169],"provisioning":[7],"and":[8,61,78,96,121,171],"efficient":[9],"service":[10],"discovery,":[11],"which":[12,91],"is":[13,109,133],"particularly":[14],"challenging":[15],"in":[16,31,166],"resource-constraint":[17],"edge":[18,32],"computing":[19],"environments.":[20],"Network":[21],"embedding":[22,50,89],"techniques":[23,47],"can":[24],"potentially":[25],"aid":[26],"effective":[27],"discovery":[29,170],"services":[30],"environments,":[33],"by":[34],"achieving":[35],"a":[36,80,101,105],"proximity-preserving":[37],"representation":[38,77,116],"of":[39,44,48,141,157,168],"the":[40,45,58,67,93,114,119,125,138,145,155,158,162,172],"network":[41,49,59,76,88,94,115,147],"resources.":[42],"Most":[43],"existing":[46,163],"fail":[51],"to":[52,111,136],"capture":[53],"accurate":[54],"proximity":[55,130],"information":[56,65],"among":[57],"nodes":[60,120,143],"further":[62],"lack":[63],"exploiting":[64],"beyond":[66],"second-order":[68],"neighbourhood.":[69,127],"This":[70],"paper":[71],"leverages":[72],"artificial":[73],"intelligence":[74],"for":[75],"proposes":[79],"deep":[81],"learning":[82],"model,":[83],"named":[84],"inductive":[85],"content":[86,98],"augmented":[87],"(ICANE),":[90],"integrates":[92],"structure":[95],"attributes":[99],"into":[100],"feature":[102],"vector.":[103],"Secondly,":[104],"hierarchical":[106],"aggregation":[107],"approach":[108],"introduced":[110],"explicitly":[112],"learn":[113],"through":[117],"sampling":[118],"aggregating":[122],"features":[123],"from":[124],"higher-order":[126],"A":[128],"semantic":[129],"search":[131],"model":[132,160],"then":[134],"designed":[135],"generate":[137],"top-k":[139],"ranking":[140],"relevant":[142],"using":[144],"learned":[146],"representation.":[148],"Experiments":[149],"conducted":[150],"on":[151],"real-world":[152],"datasets":[153],"demonstrate":[154],"superiority":[156],"proposed":[159],"over":[161],"popular":[164],"methods":[165],"terms":[167],"query":[173],"resolving":[174],"performance.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}