{"id":"https://openalex.org/W4400581346","doi":"https://doi.org/10.1142/s1793351x24450053","title":"Hierarchical Graph Neural Networks with Scale-Aware Readout for Image Classification","display_name":"Hierarchical Graph Neural Networks with Scale-Aware Readout for Image Classification","publication_year":2024,"publication_date":"2024-07-12","ids":{"openalex":"https://openalex.org/W4400581346","doi":"https://doi.org/10.1142/s1793351x24450053"},"language":"en","primary_location":{"id":"doi:10.1142/s1793351x24450053","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x24450053","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-351X","issn":["1793-351X","1793-7108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","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/A5090145710","display_name":"Jo\u00e3o Pedro Oliveira Batisteli","orcid":"https://orcid.org/0009-0001-7655-9578"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Pedro Oliveira Batisteli","raw_affiliation_strings":["Image and Multimedia Data Science Laboratory (IMSCIENCE), Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais (PUC Minas), Av. Dom Jos Gaspar, 500 - Pr\u00e9dio 20 - 30535-901 - Belo Horizonte - Brazil"],"raw_orcid":"https://orcid.org/0009-0001-7655-9578","affiliations":[{"raw_affiliation_string":"Image and Multimedia Data Science Laboratory (IMSCIENCE), Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais (PUC Minas), Av. Dom Jos Gaspar, 500 - Pr\u00e9dio 20 - 30535-901 - Belo Horizonte - Brazil","institution_ids":["https://openalex.org/I170935008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070629635","display_name":"Silvio Jamil F. Guimar\u00e3es","orcid":"https://orcid.org/0000-0001-8522-2056"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Silvio Jamil Ferzoli Guimar\u00e3es","raw_affiliation_strings":["Image and Multimedia Data Science Laboratory (IMSCIENCE), Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais (PUC Minas), Av. Dom Jos Gaspar, 500 - Pr\u00e9dio 20 - 30535-901 - Belo Horizonte - Brazil"],"raw_orcid":"https://orcid.org/0000-0001-8522-2056","affiliations":[{"raw_affiliation_string":"Image and Multimedia Data Science Laboratory (IMSCIENCE), Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais (PUC Minas), Av. Dom Jos Gaspar, 500 - Pr\u00e9dio 20 - 30535-901 - Belo Horizonte - Brazil","institution_ids":["https://openalex.org/I170935008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035002611","display_name":"Zenilton K. G. Patroc\u00ednio","orcid":"https://orcid.org/0000-0003-0804-1790"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Zenilton Kleber Gon\u00e7alves do Patroc\u00ednio","raw_affiliation_strings":["Image and Multimedia Data Science Laboratory (IMSCIENCE), Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais (PUC Minas), Av. Dom Jos Gaspar, 500 - Pr\u00e9dio 20 - 30535-901 - Belo Horizonte - Brazil"],"raw_orcid":"https://orcid.org/0000-0003-0804-1790","affiliations":[{"raw_affiliation_string":"Image and Multimedia Data Science Laboratory (IMSCIENCE), Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais (PUC Minas), Av. Dom Jos Gaspar, 500 - Pr\u00e9dio 20 - 30535-901 - Belo Horizonte - Brazil","institution_ids":["https://openalex.org/I170935008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0748,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77388618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":"04","first_page":"713","last_page":"738"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9674999713897705,"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"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9674999713897705,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9605000019073486,"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/T12676","display_name":"Machine Learning and ELM","score":0.9121999740600586,"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":0.8313501477241516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5547686815261841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5514548420906067},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4812897741794586},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4725598692893982},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4694727659225464},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44733676314353943},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4320240914821625},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3433987498283386},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3413824439048767},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3260585069656372},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09547573328018188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8313501477241516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5547686815261841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5514548420906067},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4812897741794586},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4725598692893982},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4694727659225464},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44733676314353943},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4320240914821625},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3433987498283386},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3413824439048767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3260585069656372},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09547573328018188},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793351x24450053","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x24450053","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-351X","issn":["1793-351X","1793-7108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2081669889","display_name":null,"funder_award_id":"COFECUB 88887.191730/2018-00","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G3826169133","display_name":null,"funder_award_id":"PROAP 88887.842889/2023-00-PUC/MG","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G4366607605","display_name":null,"funder_award_id":"APQ-01079-23","funder_id":"https://openalex.org/F4320322980","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais"},{"id":"https://openalex.org/G8284385610","display_name":null,"funder_award_id":"PDPG 88887.708960/2022-00-PUC/MG","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322980","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais","ror":"https://ror.org/00nc55f03"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1575496704","https://openalex.org/W2027482274","https://openalex.org/W2077069816","https://openalex.org/W2118246710","https://openalex.org/W2180151948","https://openalex.org/W2617126609","https://openalex.org/W2973303499","https://openalex.org/W2977768120","https://openalex.org/W2999905431","https://openalex.org/W3041297595","https://openalex.org/W3099715001","https://openalex.org/W3109591148","https://openalex.org/W3119238880","https://openalex.org/W3158433122","https://openalex.org/W3167599226","https://openalex.org/W3194259208","https://openalex.org/W4295814349","https://openalex.org/W4316038251","https://openalex.org/W4387527574","https://openalex.org/W4390189736","https://openalex.org/W4392981065"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W2350679292","https://openalex.org/W2086348228","https://openalex.org/W4390653028"],"abstract_inverted_index":{"This":[0,50,119],"work":[1,120],"addresses":[2],"the":[3,83,89,98,146],"importance":[4],"of":[5,65,85,133],"incorporating":[6],"multi-scale":[7,51,95],"information":[8],"in":[9],"image":[10,66,106],"representation":[11,52,96],"by":[12],"proposing":[13],"a":[14,62,72,123],"novel":[15,73],"approach":[16,129],"utilizing":[17],"hierarchical":[18,37,128],"segmentation":[19,38],"and":[20,57,97,130,141],"graph":[21,90],"neural":[22],"networks":[23],"(GNNs).":[24],"The":[25],"proposed":[26],"model,":[27],"named":[28],"Hierarchical":[29],"Image":[30],"Graph":[31,75],"with":[32,126],"Scale":[33],"Importance":[34],"(HIGSI),":[35],"leverages":[36],"to":[39,61,81,136,145],"construct":[40],"graphs":[41,111],"that":[42],"capture":[43],"relationships":[44],"between":[45],"nodes":[46],"across":[47],"different":[48],"scales.":[49],"simultaneously":[53],"captures":[54],"intricate":[55],"details":[56],"global":[58],"context,":[59],"leading":[60],"richer":[63],"understanding":[64],"structure":[67],"than":[68,116],"traditional":[69],"methods.":[70,118],"Additionally,":[71],"Region":[74],"Readout":[76],"(RGR)":[77],"function":[78],"is":[79],"introduced":[80],"assess":[82],"significance":[84],"each":[86],"scale":[87],"within":[88],"representation.":[91],"By":[92],"combining":[93],"this":[94],"RGR":[99],"function,":[100],"HIGSI":[101],"achieves":[102],"competitive":[103],"performance":[104],"on":[105],"classification":[107],"tasks,":[108],"using":[109],"smaller":[110],"or":[112],"having":[113],"fewer":[114],"parameters":[115],"existing":[117],"also":[121],"presents":[122],"comparative":[124],"study":[125],"another":[127],"an":[131],"assessment":[132],"HIGSI\u2019s":[134],"components":[135],"investigate":[137],"its":[138,142],"decision-making":[139],"process":[140],"components\u2019":[143],"contribution":[144],"overall":[147],"performance.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
