{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T05:28:16Z","timestamp":1754112496644,"version":"3.38.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T00:00:00Z","timestamp":1729555200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T00:00:00Z","timestamp":1729555200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche (ANR)","doi-asserted-by":"publisher","award":["ANR20-CE23-0002"],"award-info":[{"award-number":["ANR20-CE23-0002"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,22]]},"DOI":"10.1109\/aiccsa63423.2024.10912616","type":"proceedings-article","created":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T17:30:46Z","timestamp":1741714246000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Latent Data Augmentation for Node Classification with Graph Neural Networks"],"prefix":"10.1109","author":[{"given":"Abderaouf","family":"Gacem","sequence":"first","affiliation":[{"name":"INSA de Lyon, LIRIS,Lyon,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed","family":"Haddad","sequence":"additional","affiliation":[{"name":"Université Claude Bernard Lyon 1, LIRIS,Lyon,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamida","family":"Seba","sequence":"additional","affiliation":[{"name":"Université Claude Bernard Lyon 1, LIRIS,Lyon,France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"30","article-title":"Protein interface prediction using graph convolutional networks","volume-title":"Advances in neural information processing systems","author":"Fout","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301922"},{"key":"ref3","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"5th International Conference on Learning Representations, ICLR 2017","author":"Kipf","year":"2017"},{"key":"ref4","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems","author":"Hamilton","year":"2017"},{"key":"ref5","article-title":"Graph attention networks","volume":"abs\/1710.10903","author":"Velickovic","year":"2017","journal-title":"CoRR"},{"key":"ref6","first-page":"23341","article-title":"How powerful are spectral graph neural networks","volume-title":"International Conference on Machine Learning, ICML 2022","volume":"162","author":"Wang","year":"2022"},{"key":"ref7","article-title":"Pitfalls of graph neural network evaluation","volume":"abs\/1811.05868","author":"Shchur","year":"2018","journal-title":"CoRR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/550"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00016"},{"key":"ref10","article-title":"Dropedge: Towards deep graph convolutional networks on node classification","volume-title":"8th International Conference on Learning Representations, ICLR 2020","author":"Rong","year":"2020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17315"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449802"},{"key":"ref13","article-title":"Large-scale representation learning on graphs via bootstrapping","volume-title":"The Tenth International Conference on Learning Representations, ICLR 2022","author":"Thakoor","year":"2022"},{"key":"ref14","article-title":"Deep graph infomax","volume-title":"7th International Conference on Learning Representations, ICLR 2019","author":"Velickovic","year":"2019"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref16","first-page":"3837","article-title":"Spectral networks and locally connected networks on graphs","volume-title":"2nd International Conference on Learning Representations, ICLR 2014","author":"Bruna","year":"2016"},{"volume-title":"Micha\u00ebl Defferrard, Xavier Bresson, and Pierre Vandergheynst. Convolutional neural networks on graphs with fast localized spectral filtering","key":"ref17"},{"key":"ref18","first-page":"1263","article-title":"Neural message passing for quantum chemistry","volume-title":"Proceedings of the 34th International Conference on Machine Learning, ICML 2017","volume":"70","author":"Gilmer","year":"2017"},{"key":"ref19","article-title":"Benchmarking graph neural networks","volume":"abs\/2003.00982","author":"Dwivedi","year":"2020","journal-title":"CoRR"},{"key":"ref20","article-title":"On the bottleneck of graph neural networks and its practical implications","volume-title":"9th International Conference on Learning Representations, ICLR 2021","author":"Alon","year":"2021"},{"key":"ref21","article-title":"Graph random neural networks for semi-supervised learning on graphs","volume-title":"Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020","author":"Feng","year":"2020"},{"key":"ref22","article-title":"Graphsaint: Graph sampling based inductive learning method","volume-title":"8th International Conference on Learning Representations, ICLR 2020","author":"Zeng","year":"2020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330925"},{"key":"ref24","article-title":"Graphcrop: Subgraph cropping for graph classification","volume":"abs\/2009.10564","author":"Wang","year":"2020","journal-title":"CoRR"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467364"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20767"},{"key":"ref27","article-title":"Variational graph auto-encoders","volume":"abs\/1611.07308","author":"Kipf","year":"2016","journal-title":"CoRR"}],"event":{"name":"2024 IEEE\/ACS 21st International Conference on Computer Systems and Applications (AICCSA)","start":{"date-parts":[[2024,10,22]]},"location":"Sousse, Tunisia","end":{"date-parts":[[2024,10,26]]}},"container-title":["2024 IEEE\/ACS 21st International Conference on Computer Systems and Applications (AICCSA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10912072\/10912519\/10912616.pdf?arnumber=10912616","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T05:31:03Z","timestamp":1741757463000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10912616\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,22]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/aiccsa63423.2024.10912616","relation":{},"subject":[],"published":{"date-parts":[[2024,10,22]]}}}