{"id":"https://openalex.org/W4312281187","doi":"https://doi.org/10.1109/icpr56361.2022.9956440","title":"GCN2CAPS: Graph Convolutional Network to Capsule Network For Wide-Field Robust Graph Learning","display_name":"GCN2CAPS: Graph Convolutional Network to Capsule Network For Wide-Field Robust Graph Learning","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312281187","doi":"https://doi.org/10.1109/icpr56361.2022.9956440"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956440","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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 26th International Conference on Pattern Recognition (ICPR)","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/A5039954937","display_name":"Shuyi Niu","orcid":"https://orcid.org/0000-0003-3733-156X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuyi Niu","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University,Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing,China","Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University,Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038199312","display_name":"Junxiao Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxiao Sun","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University,Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing,China","Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University,Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008751186","display_name":"Youyong Kong","orcid":"https://orcid.org/0000-0003-2095-8470"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youyong Kong","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University,Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing,China","Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, China","Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University,Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687822","display_name":"Huazhong Shu","orcid":"https://orcid.org/0000-0002-3833-7915"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhong Shu","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University,Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing,China","Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, China","Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University,Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039954937"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14000215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2219","last_page":"2223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9772999882698059,"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/T10028","display_name":"Topic Modeling","score":0.9749000072479248,"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/computer-science","display_name":"Computer science","score":0.7395627498626709},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6009586453437805},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5212355852127075},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4796755313873291},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4487319886684418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4476088583469391},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4220816493034363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35170501470565796},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3263850808143616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11861807107925415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395627498626709},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6009586453437805},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5212355852127075},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4796755313873291},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4487319886684418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4476088583469391},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4220816493034363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35170501470565796},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3263850808143616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11861807107925415},{"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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956440","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","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 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1662382123","https://openalex.org/W2116341502","https://openalex.org/W2121947440","https://openalex.org/W2139823104","https://openalex.org/W2153959628","https://openalex.org/W2784814091","https://openalex.org/W2785994986","https://openalex.org/W2914953695","https://openalex.org/W2942681667","https://openalex.org/W2945848398","https://openalex.org/W2949208225","https://openalex.org/W2963703618","https://openalex.org/W2964015378","https://openalex.org/W2964051675","https://openalex.org/W2964321699","https://openalex.org/W2964971928","https://openalex.org/W3035010690","https://openalex.org/W3036106327","https://openalex.org/W3103557031","https://openalex.org/W3113037084","https://openalex.org/W4288363255","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6637178625","https://openalex.org/W6680434193","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6743446608","https://openalex.org/W6748053814","https://openalex.org/W6762480061","https://openalex.org/W6775054590","https://openalex.org/W6779032261","https://openalex.org/W6779462361"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2770593030","https://openalex.org/W4321487865","https://openalex.org/W3154990682","https://openalex.org/W4313906399","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4391266461","https://openalex.org/W2590798552"],"abstract_inverted_index":{"Graph":[0],"Neural":[1],"Networks":[2],"(GNNs)":[3],"have":[4],"achieved":[5],"remarkable":[6],"performance":[7],"in":[8,27],"extracting":[9],"structure-aware":[10],"node":[11,49,141],"representations":[12,50],"for":[13,59],"graph":[14,52,61,109,124],"signal":[15],"data.":[16],"However,":[17],"existing":[18],"GNNs":[19],"overly":[20],"emphasize":[21],"the":[22,28,35,70,84,92,96,100,103,114,122,144],"consistency":[23],"of":[24,102,146],"neighbor":[25],"nodes":[26],"limited":[29],"receptive":[30,71],"field":[31,72],"and":[32,73,90,143],"severely":[33],"overlook":[34],"wide-field":[36,60,93,104,107],"information.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"a":[43,106],"novel":[44],"GCN2Caps":[45,81,134,147],"that":[46,133],"transfers":[47],"multi-field":[48,64,75,79,88],"from":[51],"convolutional":[53],"network":[54,58],"(GCN)":[55],"to":[56,68,113,117],"capsule":[57,97],"learning.":[62],"Specifically,":[63],"GCN":[65],"is":[66,111,148],"employed":[67],"extend":[69],"extract":[74],"features.":[76],"To":[77],"perform":[78],"interactions,":[80],"then":[82],"explores":[83],"inherent":[85],"relationships":[86],"between":[87],"features":[89,94],"generates":[91],"through":[95],"mechanism.":[98],"On":[99],"basis":[101],"features,":[105],"min-cut":[108],"constraint":[110],"introduced":[112],"loss":[115],"function":[116],"execute":[118],"complementary":[119],"constraints":[120],"on":[121,128,139],"original":[123],"structure.":[125],"Extensive":[126],"experiments":[127],"three":[129],"real-world":[130],"datasets":[131],"demonstrate":[132],"significantly":[135],"outperforms":[136],"stateof-the-art":[137],"baselines":[138],"semi-supervised":[140],"classification":[142],"robustness":[145],"further":[149],"validated.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}