{"id":"https://openalex.org/W4396228136","doi":"https://doi.org/10.3389/fncom.2024.1393025","title":"Reinforcement learning-based SDN routing scheme empowered by causality detection and GNN","display_name":"Reinforcement learning-based SDN routing scheme empowered by causality detection and GNN","publication_year":2024,"publication_date":"2024-04-29","ids":{"openalex":"https://openalex.org/W4396228136","doi":"https://doi.org/10.3389/fncom.2024.1393025","pmid":"https://pubmed.ncbi.nlm.nih.gov/38741707"},"language":"en","primary_location":{"id":"doi:10.3389/fncom.2024.1393025","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2024.1393025","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2024.1393025/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fncom.2024.1393025/pdf?isPublishedV2=False","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101319780","display_name":"Yuanhao He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhao He","raw_affiliation_strings":["Intelligent Manufacturing Computing Research Center, Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Manufacturing Computing Research Center, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044730926","display_name":"Geyang Xiao","orcid":"https://orcid.org/0000-0002-7597-1034"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Geyang Xiao","raw_affiliation_strings":["Intelligent Manufacturing Computing Research Center, Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Manufacturing Computing Research Center, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102795009","display_name":"Jun Zhu","orcid":"https://orcid.org/0000-0002-0697-141X"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhu","raw_affiliation_strings":["Intelligent Manufacturing Computing Research Center, Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Manufacturing Computing Research Center, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030738502","display_name":"Tao Zou","orcid":"https://orcid.org/0000-0002-3667-0060"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zou","raw_affiliation_strings":["Intelligent Manufacturing Computing Research Center, Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Manufacturing Computing Research Center, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068387377","display_name":"Yuan Liang","orcid":"https://orcid.org/0000-0002-6766-7913"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Liang","raw_affiliation_strings":["Intelligent Manufacturing Computing Research Center, Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Manufacturing Computing Research Center, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044730926"],"corresponding_institution_ids":["https://openalex.org/I4210123185"],"apc_list":{"value":2950,"currency":"USD","value_usd":2950},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950},"fwci":3.9092,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.93880606,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"18","issue":null,"first_page":"1393025","last_page":"1393025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998999834060669,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998999834060669,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9872000217437744,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8250123262405396},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7308106422424316},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5002782344818115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4890638291835785},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.470855176448822},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.452690452337265},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.45225879549980164},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.44115498661994934},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32610252499580383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8250123262405396},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7308106422424316},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5002782344818115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4890638291835785},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.470855176448822},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.452690452337265},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45225879549980164},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.44115498661994934},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32610252499580383}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fncom.2024.1393025","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2024.1393025","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2024.1393025/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},{"id":"pmid:38741707","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38741707","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in computational neuroscience","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11089111","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11089111","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11089111/pdf/fncom-18-1393025.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Front Comput Neurosci","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:8c72f41d34544531ae4abb46480cc09c","is_oa":true,"landing_page_url":"https://doaj.org/article/8c72f41d34544531ae4abb46480cc09c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Computational Neuroscience, Vol 18 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fncom.2024.1393025","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2024.1393025","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2024.1393025/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Computational Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2054274046","display_name":null,"funder_award_id":"U22A2005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6657042010","display_name":null,"funder_award_id":"62203403","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396228136.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2560674852","https://openalex.org/W2915905517","https://openalex.org/W2977973695","https://openalex.org/W2999905431","https://openalex.org/W3093002101","https://openalex.org/W3104294226","https://openalex.org/W3106379731","https://openalex.org/W3166019150","https://openalex.org/W3194261808","https://openalex.org/W3197484673","https://openalex.org/W3197818567","https://openalex.org/W3215027493","https://openalex.org/W4206519681","https://openalex.org/W4315630992","https://openalex.org/W4375929162","https://openalex.org/W4380451036","https://openalex.org/W4383468900","https://openalex.org/W4384159596","https://openalex.org/W4385899462","https://openalex.org/W6747473740","https://openalex.org/W6757212879","https://openalex.org/W6766648302","https://openalex.org/W6780369355","https://openalex.org/W6784188657","https://openalex.org/W6793674984","https://openalex.org/W6796693993","https://openalex.org/W6802558061","https://openalex.org/W6872380443"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W2964765435","https://openalex.org/W2137811827"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3],"the":[4,11,57,64,87,91,95,106,111,115,181],"rapid":[5],"development":[6],"of":[7,30,60,113],"network":[8,16,26,70,121,139,167],"applications":[9],"and":[10,37,67,94,127,130,142,170,177],"increasing":[12],"demand":[13],"for":[14,80],"high-quality":[15],"service,":[17],"quality-of-service":[18],"(QoS)":[19],"routing":[20,81,156],"has":[21,41],"emerged":[22],"as":[23,173],"a":[24,131,166],"critical":[25],"technology.":[27],"The":[28],"application":[29],"machine":[31],"learning":[32,36,52,148],"techniques,":[33,102],"particularly":[34],"reinforcement":[35,51,147],"graph":[38,68,119],"neural":[39,69,120],"network,":[40],"garnered":[42],"significant":[43],"attention":[44],"in":[45,109,157,165],"addressing":[46],"this":[47,84],"problem.":[48],"However,":[49],"existing":[50],"methods":[53],"lack":[54],"research":[55],"on":[56,63,99],"causal":[58,88,100],"impact":[59],"agent":[61,93,108],"actions":[62],"interactive":[65,96],"environment,":[66,169],"fail":[71],"to":[72,104,124,152],"effectively":[73,153],"represent":[74],"link":[75,128],"features,":[76,129],"which":[77],"are":[78,163],"pivotal":[79],"optimization.":[82],"Therefore,":[83],"study":[85],"quantifies":[86],"influence":[89],"between":[90],"intelligent":[92,107],"environment":[97],"based":[98],"inference":[101],"aiming":[103],"guide":[105],"improving":[110],"efficiency":[112],"exploring":[114],"action":[116],"space.":[117],"Simultaneously,":[118],"is":[122,134,150],"employed":[123],"embed":[125],"node":[126],"reward":[132],"function":[133],"designed":[135],"that":[136],"comprehensively":[137],"considers":[138],"performance":[140],"metrics":[141,171],"causality":[143],"relevance.":[144],"A":[145],"centralized":[146],"method":[149],"proposed":[151],"achieve":[154],"QoS-aware":[155],"Software-Defined":[158],"Networking":[159],"(SDN).":[160],"Finally,":[161],"experiments":[162],"conducted":[164],"simulation":[168],"such":[172],"packet":[174],"loss,":[175],"delay,":[176],"throughput":[178],"all":[179],"outperform":[180],"baseline.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}