{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T10:20:40Z","timestamp":1779358840901,"version":"3.51.4"},"reference-count":25,"publisher":"World Scientific Pub Co Pte Ltd","issue":"04","funder":[{"DOI":"10.13039\/501100002322","name":"CAPES","doi-asserted-by":"crossref","award":["PROAP 88887.842889\/2023-00-PUC\/MG"],"award-info":[{"award-number":["PROAP 88887.842889\/2023-00-PUC\/MG"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002322","name":"CAPES","doi-asserted-by":"crossref","award":["PDPG 88887.708960\/2022-00-PUC\/MG"],"award-info":[{"award-number":["PDPG 88887.708960\/2022-00-PUC\/MG"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002322","name":"CAPES","doi-asserted-by":"crossref","award":["COFECUB 88887.191730\/2018-00"],"award-info":[{"award-number":["COFECUB 88887.191730\/2018-00"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico \u2014 CNPq","award":["303808\/2018-7"],"award-info":[{"award-number":["303808\/2018-7"]}]},{"name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico \u2014 CNPq","award":["407242\/2021-0"],"award-info":[{"award-number":["407242\/2021-0"]}]},{"name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico \u2014 CNPq","award":["306573\/2022-9"],"award-info":[{"award-number":["306573\/2022-9"]}]},{"name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico \u2014 CNPq","award":["442950\/2023-3"],"award-info":[{"award-number":["442950\/2023-3"]}]},{"DOI":"10.13039\/501100004901","name":"FAPEMIG","doi-asserted-by":"crossref","award":["APQ-01079-23"],"award-info":[{"award-number":["APQ-01079-23"]}],"id":[{"id":"10.13039\/501100004901","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Semantic Computing"],"published-print":{"date-parts":[[2024,12]]},"abstract":"<jats:p> This work addresses the importance of incorporating multi-scale information in image representation by proposing a novel approach utilizing hierarchical segmentation and graph neural networks (GNNs). The proposed model, named Hierarchical Image Graph with Scale Importance (HIGSI), leverages hierarchical segmentation to construct graphs that capture relationships between nodes across different scales. This multi-scale representation simultaneously captures intricate details and global context, leading to a richer understanding of image structure than traditional methods. Additionally, a novel Region Graph Readout (RGR) function is introduced to assess the significance of each scale within the graph representation. By combining this multi-scale representation and the RGR function, HIGSI achieves competitive performance on image classification tasks, using smaller graphs or having fewer parameters than existing methods. This work also presents a comparative study with another hierarchical approach and an assessment of HIGSI\u2019s components to investigate its decision-making process and its components\u2019 contribution to the overall performance. <\/jats:p>","DOI":"10.1142\/s1793351x24450053","type":"journal-article","created":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T15:20:39Z","timestamp":1720797639000},"page":"713-738","source":"Crossref","is-referenced-by-count":5,"title":["Hierarchical Graph Neural Networks with Scale-Aware Readout for Image Classification"],"prefix":"10.1142","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7655-9578","authenticated-orcid":false,"given":"Jo\u00e3o Pedro Oliveira","family":"Batisteli","sequence":"first","affiliation":[{"name":"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"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8522-2056","authenticated-orcid":false,"given":"Silvio Jamil Ferzoli","family":"Guimar\u00e3es","sequence":"additional","affiliation":[{"name":"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"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0804-1790","authenticated-orcid":false,"suffix":"J\u00fanior","given":"Zenilton Kleber Gon\u00e7alves","family":"do Patroc\u00ednio","sequence":"additional","affiliation":[{"name":"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"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2024,8,17]]},"reference":[{"key":"S1793351X24450053BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298990"},{"key":"S1793351X24450053BIB002","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.maiworkshop-1.12"},{"key":"S1793351X24450053BIB003","doi-asserted-by":"publisher","DOI":"10.1021\/ci3001277"},{"issue":"43","key":"S1793351X24450053BIB004","first-page":"1","volume":"24","author":"Dwivedi V. P.","year":"2023","journal-title":"J. Mach. Learn. Res."},{"key":"S1793351X24450053BIB005","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3481916"},{"key":"S1793351X24450053BIB006","first-page":"223.1","volume-title":"Proc. British Machine Vision Conf. (BMVC)","author":"Knyazev B.","year":"2019"},{"key":"S1793351X24450053BIB007","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2023.01.003"},{"key":"S1793351X24450053BIB008","doi-asserted-by":"publisher","DOI":"10.1109\/SIBGRAPI51738.2020.00035"},{"key":"S1793351X24450053BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"S1793351X24450053BIB010","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.3015433"},{"key":"S1793351X24450053BIB011","doi-asserted-by":"publisher","DOI":"10.1109\/ISM59092.2023.00015"},{"key":"S1793351X24450053BIB012","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-45389-2_5"},{"key":"S1793351X24450053BIB013","first-page":"1095","volume-title":"2021 Int. Conf. Information and Communication Technology Convergence (ICTC)","author":"Youn C.-H.","year":"2021"},{"key":"S1793351X24450053BIB014","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW60793.2023.00018"},{"key":"S1793351X24450053BIB015","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1871\/1\/012071"},{"key":"S1793351X24450053BIB016","first-page":"8291","volume-title":"Advances in Neural Information Processing Systems","volume":"35","author":"Han K.","year":"2022"},{"key":"S1793351X24450053BIB017","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-65351-4_12"},{"key":"S1793351X24450053BIB018","doi-asserted-by":"publisher","DOI":"10.3390\/app12189176"},{"key":"S1793351X24450053BIB019","first-page":"19746","volume-title":"Advances in Neural Information Processing Systems","volume":"35","author":"Buterez D.","year":"2022"},{"key":"S1793351X24450053BIB020","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852103"},{"key":"S1793351X24450053BIB022","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-019-00936-6"},{"key":"S1793351X24450053BIB023","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2779604"},{"issue":"1","key":"S1793351X24450053BIB024","first-page":"55","volume":"2","author":"Guimar\u00e3es S.","year":"2017","journal-title":"Math. Morphol.-Theor. Appl."},{"key":"S1793351X24450053BIB025","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-005-6299-0"},{"key":"S1793351X24450053BIB026","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21569-8_24"}],"container-title":["International Journal of Semantic Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S1793351X24450053","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T03:12:19Z","timestamp":1730862739000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S1793351X24450053"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,17]]},"references-count":25,"journal-issue":{"issue":"04","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["10.1142\/S1793351X24450053"],"URL":"https:\/\/doi.org\/10.1142\/s1793351x24450053","relation":{},"ISSN":["1793-351X","1793-7108"],"issn-type":[{"value":"1793-351X","type":"print"},{"value":"1793-7108","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,17]]}}}