{"id":"https://openalex.org/W4368359023","doi":"https://doi.org/10.1109/tnnls.2023.3266243","title":"A Multichannel Convolutional Decoding Network for Graph Classification","display_name":"A Multichannel Convolutional Decoding Network for Graph Classification","publication_year":2023,"publication_date":"2023-05-04","ids":{"openalex":"https://openalex.org/W4368359023","doi":"https://doi.org/10.1109/tnnls.2023.3266243","pmid":"https://pubmed.ncbi.nlm.nih.gov/37141052"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3266243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3266243","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5060856903","display_name":"Mingjian Guang","orcid":"https://orcid.org/0000-0003-2944-2665"},"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":true,"raw_author_name":"Mingjian Guang","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing, Ministry of Education, National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","Key Laboratory of Embedded System and Service Computing, Ministry of Education, and the National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2944-2665","affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, and the National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063698564","display_name":"Chungang Yan","orcid":"https://orcid.org/0000-0002-1917-9616"},"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":"Chungang Yan","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing, Ministry of Education, National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","Key Laboratory of Embedded System and Service Computing, Ministry of Education, and the National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1917-9616","affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, and the National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015248791","display_name":"Yuhua Xu","orcid":"https://orcid.org/0000-0001-9430-8791"},"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":"Yuhua Xu","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing, Ministry of Education, National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","Key Laboratory of Embedded System and Service Computing, Ministry of Education, and the National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9430-8791","affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, and the National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345552","display_name":"Junli Wang","orcid":null},"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":"Junli Wang","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing, Ministry of Education, National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","Key Laboratory of Embedded System and Service Computing, Ministry of Education, and the National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7185-9731","affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, and the National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066099338","display_name":"Changjun Jiang","orcid":"https://orcid.org/0000-0003-0637-9317"},"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":"Changjun Jiang","raw_affiliation_strings":["Key Laboratory of Embedded System and Service Computing, Ministry of Education, National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","Key Laboratory of Embedded System and Service Computing, Ministry of Education, and the National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0637-9317","affiliations":[{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Key Laboratory of Embedded System and Service Computing, Ministry of Education, and the National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060856903"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":3.2803,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93485095,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"35","issue":"10","first_page":"13206","last_page":"13216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9882000088691711,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7737074494361877},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7404345273971558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7314255237579346},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5843797922134399},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5212067365646362},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.4804791510105133},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42952752113342285},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3936324417591095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34555092453956604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32944947481155396}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7737074494361877},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7404345273971558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314255237579346},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5843797922134399},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5212067365646362},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.4804791510105133},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42952752113342285},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3936324417591095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34555092453956604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32944947481155396},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3266243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3266243","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37141052","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37141052","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1932847118","https://openalex.org/W2008857988","https://openalex.org/W2092750499","https://openalex.org/W2147286743","https://openalex.org/W2187089797","https://openalex.org/W2244807774","https://openalex.org/W2736832651","https://openalex.org/W2788919350","https://openalex.org/W2791194998","https://openalex.org/W2795694162","https://openalex.org/W2796868621","https://openalex.org/W2797790703","https://openalex.org/W2807793257","https://openalex.org/W2883305476","https://openalex.org/W2904832339","https://openalex.org/W2907101105","https://openalex.org/W2907492528","https://openalex.org/W2946693349","https://openalex.org/W2963066159","https://openalex.org/W2963477629","https://openalex.org/W2993654181","https://openalex.org/W2997997679","https://openalex.org/W3026076535","https://openalex.org/W3031696893","https://openalex.org/W3033835243","https://openalex.org/W3034618665","https://openalex.org/W3128129382","https://openalex.org/W3171713821","https://openalex.org/W3176524055","https://openalex.org/W3190469032","https://openalex.org/W3195646717","https://openalex.org/W3200177062","https://openalex.org/W3202742610","https://openalex.org/W4220801936","https://openalex.org/W4239274944","https://openalex.org/W4285116915","https://openalex.org/W4287829537","https://openalex.org/W4293651439","https://openalex.org/W4312616886","https://openalex.org/W4320015696","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6637178625","https://openalex.org/W6685265622","https://openalex.org/W6685350579","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6729360231","https://openalex.org/W6730084236","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6744557953","https://openalex.org/W6747927160","https://openalex.org/W6753331806","https://openalex.org/W6755207826","https://openalex.org/W6760045743","https://openalex.org/W6761665040","https://openalex.org/W6762735450","https://openalex.org/W6763315736","https://openalex.org/W6770102389","https://openalex.org/W6774097426","https://openalex.org/W6776137863","https://openalex.org/W6776684981","https://openalex.org/W6779032261","https://openalex.org/W6784741312","https://openalex.org/W6790558058"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W2181948922","https://openalex.org/W3203142394","https://openalex.org/W2351061015","https://openalex.org/W2384362569","https://openalex.org/W4220731478","https://openalex.org/W1974101135","https://openalex.org/W2017509870"],"abstract_inverted_index":{"Graph":[0],"convolutional":[1,81],"networks":[2],"(GCNs)":[3],"have":[4],"shown":[5],"superior":[6],"performance":[7],"on":[8,165],"graph":[9,111,129],"classification":[10],"tasks,":[11],"and":[12,32,75,131,138,156,179],"their":[13],"structure":[14],"can":[15,109,134],"be":[16],"considered":[17],"as":[18],"an":[19,59],"encoder-decoder":[20,60],"pair.":[21],"However,":[22],"most":[23],"existing":[24],"methods":[25],"lack":[26],"the":[27,38,52,66,70,87,150,154,169],"comprehensive":[28],"consideration":[29],"of":[30,40,48,69,153,171,176],"global":[31,41,61,137],"local":[33,46,72,139],"in":[34,37,174],"decoding,":[35],"resulting":[36],"loss":[39,56,147],"information":[42,47,112],"or":[43],"ignoring":[44],"some":[45],"large":[49],"graphs.":[50],"And":[51],"commonly":[53],"used":[54],"cross-entropy":[55],"is":[57],"essentially":[58],"loss,":[62],"which":[63,97],"cannot":[64],"supervise":[65,149],"training":[67,151],"states":[68,152],"two":[71],"components":[73],"(encoder":[74],"decoder).":[76],"We":[77,141],"propose":[78,118],"a":[79,93,102,119,123,144],"multichannel":[80,94],"decoding":[82],"network":[83],"(MCCD)":[84],"to":[85,127,148],"solve":[86],"above-mentioned":[88],"problems.":[89],"MCCD":[90,173],"first":[91],"adopts":[92],"GCN":[95,104],"encoder,":[96],"has":[98],"better":[99,135],"generalization":[100],"than":[101],"single-channel":[103],"encoder":[105,155],"since":[106],"different":[107,114],"channels":[108],"extract":[110,136],"from":[113],"perspectives.":[115],"Then,":[116],"we":[117],"novel":[120],"decoder":[121,133,157],"with":[122],"global-to-local":[124],"learning":[125],"pattern":[126],"decode":[128],"information,":[130],"this":[132],"information.":[140],"also":[142],"introduce":[143],"balanced":[145],"regularization":[146],"so":[158],"that":[159],"they":[160],"are":[161],"sufficiently":[162],"trained.":[163],"Experiments":[164],"standard":[166],"datasets":[167],"demonstrate":[168],"effectiveness":[170],"our":[172],"terms":[175],"accuracy,":[177],"runtime,":[178],"computational":[180],"complexity.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}
