{"id":"https://openalex.org/W4402742339","doi":"https://doi.org/10.1109/tai.2024.3465433","title":"RATs-NAS: Redirection of Adjacent Trails on Graph Convolutional Networks for Predictor-Based Neural Architecture Search","display_name":"RATs-NAS: Redirection of Adjacent Trails on Graph Convolutional Networks for Predictor-Based Neural Architecture Search","publication_year":2024,"publication_date":"2024-09-23","ids":{"openalex":"https://openalex.org/W4402742339","doi":"https://doi.org/10.1109/tai.2024.3465433"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2024.3465433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3465433","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","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":null,"display_name":"Yu-Ming Zhang","orcid":"https://orcid.org/0009-0007-6675-0436"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Ming Zhang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan","Dep. of Com. Sci. and Inf. Eng., National Central University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0009-0007-6675-0436","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Dep. of Com. Sci. and Inf. Eng., National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053058538","display_name":"Jun\u2010Wei Hsieh","orcid":"https://orcid.org/0000-0002-5477-4891"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Wei Hsieh","raw_affiliation_strings":["College of Artificial Intelligence, National Yang Ming Chiao Tung University, Tainan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-5477-4891","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, National Yang Ming Chiao Tung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028630366","display_name":"Chun-Chieh Lee","orcid":"https://orcid.org/0000-0002-1285-6100"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Chieh Lee","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan","Dep. of Com. Sci. and Inf. Eng., National Central University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-1285-6100","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Dep. of Com. Sci. and Inf. Eng., National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101522812","display_name":"Kuo\u2010Chin Fan","orcid":"https://orcid.org/0009-0001-2519-3027"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuo-Chin Fan","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan","Dep. of Com. Sci. and Inf. Eng., National Central University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0009-0001-2519-3027","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]},{"raw_affiliation_string":"Dep. of Com. Sci. and Inf. Eng., National Central University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14981689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"12","first_page":"6672","last_page":"6682"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10320","display_name":"Neural Networks and Applications","score":0.933899998664856,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9257000088691711,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6872221827507019},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.6339774131774902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6065544486045837},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.51483553647995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3624359667301178},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.25668764114379883},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22665807604789734},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.05715540051460266}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6872221827507019},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6339774131774902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6065544486045837},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.51483553647995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3624359667301178},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.25668764114379883},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22665807604789734},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.05715540051460266}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2024.3465433","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2024.3465433","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1555168845","https://openalex.org/W2194775991","https://openalex.org/W2954234207","https://openalex.org/W2960010704","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2963821229","https://openalex.org/W2963918968","https://openalex.org/W2965658867","https://openalex.org/W2982083293","https://openalex.org/W3013310686","https://openalex.org/W3094801149","https://openalex.org/W3173807327","https://openalex.org/W4214513763","https://openalex.org/W4255158661","https://openalex.org/W4312351737","https://openalex.org/W4382203144","https://openalex.org/W6637373629","https://openalex.org/W6726873649","https://openalex.org/W6729956949","https://openalex.org/W6729972426","https://openalex.org/W6734593296","https://openalex.org/W6737664043","https://openalex.org/W6741978826","https://openalex.org/W6752515464","https://openalex.org/W6753701838","https://openalex.org/W6755166560","https://openalex.org/W6756887525","https://openalex.org/W6757204547","https://openalex.org/W6759402996","https://openalex.org/W6771859737","https://openalex.org/W6779348065","https://openalex.org/W6779460946","https://openalex.org/W6780506207","https://openalex.org/W6781941078","https://openalex.org/W6784333009","https://openalex.org/W6787972765","https://openalex.org/W6788713141","https://openalex.org/W6790297421","https://openalex.org/W6796917945","https://openalex.org/W6796973776","https://openalex.org/W6797304698"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4293226380","https://openalex.org/W4396696052","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Manually":[0],"designed":[1],"convolutional":[2,69],"neural":[3],"networks":[4,70],"(CNNs)":[5],"architectures":[6,51,158],"such":[7,66],"as":[8,67],"visual":[9],"geometry":[10],"group":[11],"network":[12],"(VGG),":[13],"ResNet,":[14],"DenseNet,":[15],"and":[16,30,175,188],"MobileNet":[17],"have":[18],"achieved":[19],"high":[20],"performance":[21],"across":[22],"various":[23],"tasks,":[24],"but":[25],"design":[26],"them":[27],"is":[28,73],"time-consuming":[29],"costly.":[31],"Neural":[32],"architecture":[33],"search":[34,146,168],"(NAS)":[35],"automates":[36],"the":[37,44,61,74,86,91,98,102,124,143,152],"discovery":[38],"of":[39,63,88,93,95,101,114,154],"effective":[40],"CNN":[41],"architectures,":[42,97],"reducing":[43],"need":[45],"for":[46],"experts.":[47],"However,":[48,80],"evaluating":[49],"candidate":[50],"requires":[52],"significant":[53,178],"graphics":[54],"processing":[55],"unit":[56],"(GPU)":[57],"resources,":[58],"leading":[59],"to":[60,77],"use":[62],"predictor-based":[64,182],"NAS,":[65],"graph":[68,139],"(GCN),":[71],"which":[72,118,172],"popular":[75],"option":[76],"construct":[78],"predictors.":[79],"we":[81,111],"discover":[82],"that,":[83],"even":[84],"though":[85],"ability":[87],"GCN":[89],"mimics":[90],"propagation":[92],"features":[94],"real":[96],"binary":[99],"nature":[100],"adjacency":[103,125],"matrix":[104],"limits":[105],"its":[106],"effectiveness.":[107],"To":[108],"address":[109],"this,":[110],"propose":[112],"redirection":[113],"adjacent":[115],"trails":[116],"(RATs),":[117],"adaptively":[119],"learns":[120],"trail":[121,135],"weights":[122,136],"within":[123],"matrix.":[126],"Our":[127,170],"RATs-GCN":[128,174],"outperform":[129],"other":[130,181],"predictors":[131],"by":[132],"dynamically":[133],"adjusting":[134],"after":[137],"each":[138],"convolution":[140],"layer.":[141],"Additionally,":[142],"proposed":[144],"divide":[145],"sampling":[147],"(DSS)":[148],"strategy,":[149],"based":[150],"on":[151,185],"observation":[153],"cell-based":[155],"NAS":[156,183],"that":[157],"with":[159],"similar":[160],"floating":[161],"point":[162],"operations":[163],"(FLOPs)":[164],"perform":[165],"similarly,":[166],"enhances":[167],"efficiency.":[169],"RATs-NAS,":[171],"combine":[173],"DSS,":[176],"shows":[177],"improvements":[179],"over":[180],"methods":[184],"NASBench-101,":[186],"NASBench-201,":[187],"NASBench-301.":[189]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
