{"id":"https://openalex.org/W4302007258","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892188","title":"CNN-based Prediction of Network Robustness With Missing Edges","display_name":"CNN-based Prediction of Network Robustness With Missing Edges","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4302007258","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892188"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892188","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5101463628","display_name":"Chengpei Wu","orcid":"https://orcid.org/0009-0007-9460-4807"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengpei Wu","raw_affiliation_strings":["College of Computer Science, Sichuan Normal University,Chengdu,China,610066"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan Normal University,Chengdu,China,610066","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074413224","display_name":"Yang Lou","orcid":"https://orcid.org/0000-0002-8839-8898"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Lou","raw_affiliation_strings":["College of Computer Science, Sichuan Normal University,Chengdu,China,610066","Department of Computing and Decision Sciences, Lingnan University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan Normal University,Chengdu,China,610066","institution_ids":["https://openalex.org/I63354593"]},{"raw_affiliation_string":"Department of Computing and Decision Sciences, Lingnan University, Hong Kong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090876580","display_name":"Ruizi Wu","orcid":"https://orcid.org/0000-0002-0137-6320"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruizi Wu","raw_affiliation_strings":["College of Computer Science, Sichuan Normal University,Chengdu,China,610066"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan Normal University,Chengdu,China,610066","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343163","display_name":"Wenwen Liu","orcid":"https://orcid.org/0000-0001-7877-9200"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwen Liu","raw_affiliation_strings":["College of Computer Science, Sichuan Normal University,Chengdu,China,610066"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan Normal University,Chengdu,China,610066","institution_ids":["https://openalex.org/I63354593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100646953","display_name":"Junli Li","orcid":"https://orcid.org/0000-0001-5323-858X"},"institutions":[{"id":"https://openalex.org/I63354593","display_name":"Sichuan Normal University","ror":"https://ror.org/043dxc061","country_code":"CN","type":"education","lineage":["https://openalex.org/I63354593"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junli Li","raw_affiliation_strings":["College of Computer Science, Sichuan Normal University,Chengdu,China,610066"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan Normal University,Chengdu,China,610066","institution_ids":["https://openalex.org/I63354593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63354593"],"apc_list":null,"apc_paid":null,"fwci":2.5514,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9118924,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9790999889373779,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8839564323425293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7217251658439636},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.7199463844299316},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5934010744094849},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5918909311294556},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.49148333072662354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4351934790611267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4127153158187866},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3616410493850708},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2683444619178772},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2096375823020935},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20658642053604126}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8839564323425293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7217251658439636},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.7199463844299316},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5934010744094849},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5918909311294556},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.49148333072662354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4351934790611267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4127153158187866},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3616410493850708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2683444619178772},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2096375823020935},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20658642053604126},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892188","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5482204356","display_name":null,"funder_award_id":"62002249","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":31,"referenced_works":["https://openalex.org/W1940227326","https://openalex.org/W1978430385","https://openalex.org/W1989400610","https://openalex.org/W2007785292","https://openalex.org/W2033193852","https://openalex.org/W2041136065","https://openalex.org/W2062215476","https://openalex.org/W2076063813","https://openalex.org/W2101420429","https://openalex.org/W2146162554","https://openalex.org/W2170766502","https://openalex.org/W2782828920","https://openalex.org/W2927561076","https://openalex.org/W2946739956","https://openalex.org/W2963234936","https://openalex.org/W2966299151","https://openalex.org/W2969834664","https://openalex.org/W3005561725","https://openalex.org/W3011388440","https://openalex.org/W3028110392","https://openalex.org/W3048687214","https://openalex.org/W3098774195","https://openalex.org/W3120502492","https://openalex.org/W3132935130","https://openalex.org/W3164336100","https://openalex.org/W3196792588","https://openalex.org/W3197013275","https://openalex.org/W4236892861","https://openalex.org/W4238452917","https://openalex.org/W4242930685","https://openalex.org/W4297733535"],"related_works":["https://openalex.org/W2036697162","https://openalex.org/W2140812588","https://openalex.org/W2411113819","https://openalex.org/W2072887367","https://openalex.org/W2332386680","https://openalex.org/W2561315646","https://openalex.org/W2248621902","https://openalex.org/W2003779889","https://openalex.org/W2164760767","https://openalex.org/W2573742090"],"abstract_inverted_index":{"Connectivity":[0],"and":[1,21,29,73,147],"controllability":[2,22,74],"of":[3,19,68,104,113,128,158],"a":[4,13,53,101,135,149,155],"complex":[5],"network":[6,36,48,59,79],"are":[7,92,132],"two":[8],"important":[9],"issues":[10],"that":[11,99,163],"guarantee":[12],"networked":[14],"system":[15,25],"to":[16,26,56,169],"function.":[17],"Robustness":[18],"connectivity":[20,72],"guarantees":[23],"the":[24,45,58,66,84,111,124,143,164,170],"function":[27],"properly":[28],"stably":[30],"under":[31],"various":[32],"malicious":[33],"attacks.":[34],"Evaluating":[35],"robustness":[37,75],"using":[38,154],"attack":[39],"simulations":[40],"is":[41,81,87,97,109,138,152,167],"time":[42],"consuming,":[43],"while":[44],"convolutional":[46],"neural":[47],"(CNN)-based":[49],"prediction":[50,115],"approach":[51],"provides":[52],"cost-efficient":[54],"method":[55],"approximate":[57],"robustness.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"investigate":[65],"performance":[67,112],"CNN-based":[69,114,171],"approaches":[70],"for":[71,120,145],"prediction,":[76,146],"when":[77],"partial":[78],"information":[80,108],"missing,":[82],"namely":[83],"adjacency":[85],"matrix":[86],"incomplete.":[88],"Extensive":[89],"experimental":[90],"studies":[91],"carried":[93],"out.":[94],"A":[95],"threshold":[96],"explored":[98],"if":[100],"total":[102],"amount":[103],"more":[105],"than":[106],"7.29%":[107],"lost,":[110],"will":[116],"be":[117],"significantly":[118],"degenerated":[119],"all":[121],"cases":[122],"in":[123,142],"experiments.":[125],"Two":[126],"scenarios":[127],"missing":[129,136,150],"edge":[130,137,151],"representations":[131],"compared,":[133],"1)":[134],"marked":[139],"\u2018no":[140],"edge\u2019":[141],"input":[144],"2)":[148],"denoted":[153],"special":[156],"marker":[157],"\u2018unknown\u2019.":[159],"Experimental":[160],"results":[161],"reveal":[162],"first":[165],"representation":[166],"misleading":[168],"predictors.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}