{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:41:04Z","timestamp":1740102064077,"version":"3.37.3"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior - Brasil (CAPES)","doi-asserted-by":"publisher","award":["88887.710875\/2022-00"],"award-info":[{"award-number":["88887.710875\/2022-00"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001807","name":"S\u00e3o Paulo Research Foundation (FAPESP)","doi-asserted-by":"publisher","award":["2019\/25010-5,2019\/07665-4,2022\/09091-8"],"award-info":[{"award-number":["2019\/25010-5,2019\/07665-4,2022\/09091-8"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191468","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["On the Use of Aggregation Functions for Semi-Supervised Network Embedding"],"prefix":"10.1109","author":[{"given":"Marcelo Isaias","family":"de Moraes","sequence":"first","affiliation":[{"name":"Institute of Mathematical and Computer Sciences, University of São Paulo,São Carlos, SP,Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ricardo Marcondes","family":"Marcacini","sequence":"additional","affiliation":[{"name":"Institute of Mathematical and Computer Sciences, University of São Paulo,São Carlos, SP,Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"A generalization of transformer networks to graphs","author":"dwivedi","year":"2021","journal-title":"AAAI Workshop on Deep Learning on Graphs Methods and Applications"},{"journal-title":"Benchmarking graph neural networks","year":"2020","author":"dwivedi","key":"ref12"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11782"},{"key":"ref14","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref11","article-title":"Network embedding: An overview","volume":"abs 1911 11726","author":"arsov","year":"2019","journal-title":"ArXiv"},{"key":"ref10","article-title":"Graph neural networks with adaptive readouts","author":"buterez","year":"2022","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-6054-2_3"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2849727"},{"journal-title":"Layer normalization","year":"2016","author":"ba","key":"ref17"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref19","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"dem\u0161ar","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1109\/CVPR.2016.90","article-title":"Deep residual learning for image recognition","author":"he","year":"2016","journal-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"journal-title":"Pitfalls of Graph Neural Network Evaluation","year":"2018","author":"shchur","key":"ref24"},{"key":"ref23","first-page":"40","article-title":"Revisiting semi-supervised learning with graph embeddings","author":"yang","year":"2016","journal-title":"Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48 ser ICML‘16"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/comnet\/cnab014"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411866"},{"key":"ref20","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"International Conference on Learning Representations"},{"key":"ref22","article-title":"Decoupled weight decay regularization","author":"loshchilov","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref21","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098061"},{"key":"ref27","article-title":"Geom-gcn: Geometric graph convolutional networks","author":"pei","year":"2020","journal-title":"International Conference on Learning Representations"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5861"},{"key":"ref8","first-page":"13260","article-title":"Principal neighbourhood aggregation for graph nets","volume":"33","author":"corso","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref7","article-title":"Inductive representation learning on large graphs","volume":"30","author":"hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"journal-title":"DeeperGCN All You Need to Train Deeper GCNs","year":"2022","author":"li","key":"ref9"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref5","article-title":"How powerful are graph neural networks?","author":"xu","year":"2019","journal-title":"International Conference on Learning Representations"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191468.pdf?arnumber=10191468","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:44:00Z","timestamp":1692639840000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191468\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191468","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}