{"id":"https://openalex.org/W4388878615","doi":"https://doi.org/10.1109/tai.2023.3334261","title":"Hierarchical Multiview Top-k Pooling With Deep-Q-Networks","display_name":"Hierarchical Multiview Top-k Pooling With Deep-Q-Networks","publication_year":2023,"publication_date":"2023-11-21","ids":{"openalex":"https://openalex.org/W4388878615","doi":"https://doi.org/10.1109/tai.2023.3334261"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2023.3334261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3334261","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":"https://openalex.org/A5054829905","display_name":"Zhipeng Li","orcid":"https://orcid.org/0000-0002-4135-0838"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4394709157","display_name":"Eastern Institute of Technology, Ningbo","ror":"https://ror.org/036mbz113","country_code":null,"type":"education","lineage":["https://openalex.org/I4394709157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi-Peng Li","raw_affiliation_strings":["Eastern Institute of Technology, Ningbo, Zhejiang, China","School of life sciences, University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Eastern Institute of Technology, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I4394709157"]},{"raw_affiliation_string":"School of life sciences, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009911736","display_name":"Hailong Su","orcid":"https://orcid.org/0000-0003-4759-9105"},"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":"Hai-Long Su","raw_affiliation_strings":["Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021934263","display_name":"Yong Wu","orcid":"https://orcid.org/0000-0001-5628-1858"},"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":"Yong- Wu","raw_affiliation_strings":["Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062540383","display_name":"Qinhu Zhang","orcid":"https://orcid.org/0000-0002-4232-7736"},"institutions":[{"id":"https://openalex.org/I4394709157","display_name":"Eastern Institute of Technology, Ningbo","ror":"https://ror.org/036mbz113","country_code":null,"type":"education","lineage":["https://openalex.org/I4394709157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin-Hu Zhang","raw_affiliation_strings":["Eastern Institute of Technology, Ningbo, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Eastern Institute of Technology, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I4394709157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007724310","display_name":"Changan Yuan","orcid":"https://orcid.org/0000-0001-6912-718X"},"institutions":[{"id":"https://openalex.org/I4210165264","display_name":"Guangxi Academy of Sciences","ror":"https://ror.org/054x1kd82","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210165264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-An Yuan","raw_affiliation_strings":["Institute of Big Data and Intelligent Computing Research Center, Guangxi Academy of Sciences, Nanning, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big Data and Intelligent Computing Research Center, Guangxi Academy of Sciences, Nanning, China","institution_ids":["https://openalex.org/I4210165264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018239951","display_name":"Valeriya Gribova","orcid":"https://orcid.org/0000-0001-9393-351X"},"institutions":[{"id":"https://openalex.org/I4210112797","display_name":"Institute of Automation and Control Processes","ror":"https://ror.org/02akkm420","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210112797","https://openalex.org/I4210148470"]},{"id":"https://openalex.org/I4210148470","display_name":"Far Eastern Branch of the Russian Academy of Sciences","ror":"https://ror.org/05t43vz03","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210148470"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Valeriya Gribova","raw_affiliation_strings":["Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia","institution_ids":["https://openalex.org/I4210112797","https://openalex.org/I4210148470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023551813","display_name":"Vladimir Filaretov","orcid":"https://orcid.org/0000-0001-8900-8081"},"institutions":[{"id":"https://openalex.org/I4210112797","display_name":"Institute of Automation and Control Processes","ror":"https://ror.org/02akkm420","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210112797","https://openalex.org/I4210148470"]},{"id":"https://openalex.org/I4210148470","display_name":"Far Eastern Branch of the Russian Academy of Sciences","ror":"https://ror.org/05t43vz03","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210148470"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Fedorovich Filaretov","raw_affiliation_strings":["Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia","institution_ids":["https://openalex.org/I4210112797","https://openalex.org/I4210148470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060381913","display_name":"De-Shuang Huang","orcid":"https://orcid.org/0000-0002-6759-2691"},"institutions":[{"id":"https://openalex.org/I4394709157","display_name":"Eastern Institute of Technology, Ningbo","ror":"https://ror.org/036mbz113","country_code":null,"type":"education","lineage":["https://openalex.org/I4394709157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De-Shuang Huang","raw_affiliation_strings":["Eastern Institute of Technology, Ningbo, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Eastern Institute of Technology, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I4394709157"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5054829905"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I4394709157"],"apc_list":null,"apc_paid":null,"fwci":1.3917,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85350112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"5","issue":"6","first_page":"2985","last_page":"2996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9771999716758728,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.960099995136261,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.9016861319541931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7402517795562744},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7016444206237793},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5874455571174622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.535373866558075},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.47265779972076416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46186739206314087},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4337378442287445},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41369760036468506},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40660977363586426},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3775220811367035}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.9016861319541931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7402517795562744},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7016444206237793},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5874455571174622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.535373866558075},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.47265779972076416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46186739206314087},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4337378442287445},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41369760036468506},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40660977363586426},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3775220811367035},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2023.3334261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3334261","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1670132599","https://openalex.org/W1901129140","https://openalex.org/W1995562189","https://openalex.org/W2034618876","https://openalex.org/W2056562706","https://openalex.org/W2092750499","https://openalex.org/W2096630263","https://openalex.org/W2099438806","https://openalex.org/W2107726111","https://openalex.org/W2118246710","https://openalex.org/W2145339207","https://openalex.org/W2194187530","https://openalex.org/W2590019597","https://openalex.org/W2611552022","https://openalex.org/W2756203131","https://openalex.org/W2788919350","https://openalex.org/W2798405286","https://openalex.org/W2900041539","https://openalex.org/W2907101105","https://openalex.org/W2914721378","https://openalex.org/W2916979304","https://openalex.org/W2945634346","https://openalex.org/W2950898568","https://openalex.org/W2951659295","https://openalex.org/W2962711740","https://openalex.org/W2963017945","https://openalex.org/W2963066159","https://openalex.org/W2963150697","https://openalex.org/W2997079913","https://openalex.org/W2997848713","https://openalex.org/W2997997679","https://openalex.org/W3003393086","https://openalex.org/W3012562343","https://openalex.org/W3018757597","https://openalex.org/W3039075121","https://openalex.org/W3042313988","https://openalex.org/W3100993589","https://openalex.org/W3103720336","https://openalex.org/W3116239416","https://openalex.org/W3128785555","https://openalex.org/W3145608311","https://openalex.org/W3150570724","https://openalex.org/W3153673236","https://openalex.org/W3157999218","https://openalex.org/W3159307593","https://openalex.org/W3173856251","https://openalex.org/W3188927595","https://openalex.org/W4214717370","https://openalex.org/W4214876032","https://openalex.org/W4220873374","https://openalex.org/W4283729103","https://openalex.org/W4285225911","https://openalex.org/W4287829537","https://openalex.org/W4288419263","https://openalex.org/W4290713716","https://openalex.org/W4298857966","https://openalex.org/W4306316904","https://openalex.org/W6631190155","https://openalex.org/W6636883489","https://openalex.org/W6637967152","https://openalex.org/W6680132778","https://openalex.org/W6690815549","https://openalex.org/W6695479203","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6737372380","https://openalex.org/W6738964360","https://openalex.org/W6751455638","https://openalex.org/W6753331806","https://openalex.org/W6754929296","https://openalex.org/W6756644646","https://openalex.org/W6760045743","https://openalex.org/W6761665040","https://openalex.org/W6762833281","https://openalex.org/W6772384842","https://openalex.org/W6774097426","https://openalex.org/W6777046832","https://openalex.org/W6780444311","https://openalex.org/W6790558058","https://openalex.org/W6839404074"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2810679507","https://openalex.org/W3015684221"],"abstract_inverted_index":{"Graph":[0,34],"Neural":[1,36],"Networks":[2,37],"(GNNs)":[3],"are":[4,85],"extensions":[5],"of":[6,70,123,160,171,206],"deep":[7],"neural":[8],"networks":[9],"to":[10,140,165],"graph-structured":[11],"data.":[12],"It":[13,132],"has":[14],"already":[15],"attracted":[16],"widespread":[17],"attention":[18],"for":[19,65],"various":[20],"tasks":[21],"such":[22],"as":[23],"node":[24,55,66,179],"classification":[25],"and":[26,53,79,112,114,138,146,150,198],"link":[27],"prediction.":[28],"Existing":[29],"research":[30],"focuses":[31],"more":[32],"on":[33,118,155,195],"Convolutional":[35],"(GCNs).":[38],"However,":[39],"it":[40],"is":[41,128],"usually":[42,86],"overlooked":[43],"that":[44],"graph":[45,49,59,110],"pooling":[46,60,169,188],"can":[47,183],"obtain":[48],"representations":[50],"by":[51],"summarizing":[52],"down-sampling":[54],"information.":[56],"Meanwhile,":[57],"existing":[58],"methods":[61],"mainly":[62],"use":[63],"top-k":[64,84],"selection,":[67],"but":[68],"most":[69],"them":[71],"consider":[72],"only":[73],"single-view":[74],"information":[75,108,158],"when":[76],"scoring":[77],"nodes,":[78],"the":[80,92,119,124,142,156,161,167,186,204],"k":[81],"values":[82],"in":[83],"selected":[87],"empirically.":[88],"This":[89],"work":[90],"proposes":[91],"Hierarchical":[93],"Multi-view":[94],"Top-k":[95,177],"Pooling":[96],"with":[97],"Deep":[98],"Q-networks":[99],"(HMTPool),":[100],"which":[101,182],"scores":[102,159],"nodes":[103,143],"taking":[104],"into":[105],"account":[106],"multi-view":[107,157],"(Considering":[109],"structure":[111],"features)":[113],"does":[115],"not":[116],"rely":[117],"empirical":[120],"adaptive":[121],"selection":[122,180],"best":[125,187],"k-value.":[126],"HMTPool":[127],"a":[129,135,175],"two-stage":[130],"process.":[131],"first":[133],"uses":[134],"variant":[136],"GCN":[137],"MLP":[139],"score":[141],"from":[144],"structural":[145],"feature":[147],"perspectives,":[148],"respectively":[149],"then":[151],"performs":[152],"fusion":[153],"operations":[154],"nodes.":[162],"In":[163],"addition,":[164],"select":[166,185],"optimal":[168],"ratio":[170,189],"top-k,":[172],"we":[173],"propose":[174],"Deep-Q-Network-based":[176],"(DTop-k)":[178],"method,":[181],"adaptively":[184],"without":[190],"prior":[191],"knowledge.":[192],"Experimental":[193],"results":[194],"six":[196],"TUDatasets":[197],"two":[199],"Benchmarking":[200],"GNNs":[201],"datasets":[202],"demonstrate":[203],"effectiveness":[205],"our":[207],"proposed":[208],"approach.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}