{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:39:07Z","timestamp":1730266747093,"version":"3.28.0"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10650398","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Denoising of Contrastive Learning for GNN-based Node Embedding"],"prefix":"10.1109","author":[{"given":"Pinyi","family":"Zhang","sequence":"first","affiliation":[{"name":"East China Normal University,School of Computer Science and Technology,Shanghai,China"}]},{"given":"Hexin","family":"Bai","sequence":"additional","affiliation":[{"name":"ByteDance,USA"}]},{"given":"Yu","family":"Dai","sequence":"additional","affiliation":[{"name":"East China Normal University,School of Computer Science and Technology,Shanghai,China"}]},{"given":"Haibin","family":"Ling","sequence":"additional","affiliation":[{"name":"Stony Brook University,USA"}]},{"given":"Kai","family":"Zhang","sequence":"additional","affiliation":[{"name":"East China Normal University,School of Computer Science and Technology,Shanghai,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.552"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/SLT48900.2021.9383605"},{"key":"ref3","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"International conference on machine learning. Proceedings of Machine Learning Research","author":"Chen"},{"key":"ref4","first-page":"4116","article-title":"Contrastive multi-view representation learning on graphs","volume-title":"International Conference on Machine Learning. Proceedings of Machine Learning Research","author":"Hassani"},{"key":"ref5","first-page":"259","article-title":"Graph representation learning via graphical mutual information maxi-mization","volume-title":"Proceedings of The Web Conference","author":"Peng"},{"article-title":"Deep Graph Infomax","volume-title":"International Conference on Learning Representations","author":"Veli\u010dkovi\u0107","key":"ref6"},{"article-title":"Deep Graph Contrastive Representation Learning","volume-title":"ICML Workshop on Graph Representation Learning and Beyond","author":"Zhu","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"ref9","article-title":"Diffusion improves graph learning","volume":"32","author":"Klicpera","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159706"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449802"},{"article-title":"Debiased graph contrastive learning","year":"2021","author":"Xia","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00945"},{"article-title":"Contrastive learning with hard negative samples","year":"2020","author":"Robinson","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2023.3304948"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3344294"},{"key":"ref19","article-title":"The pagerank citation ranking: Bringing order to the web","volume-title":"Tech. Rep.","author":"Page","year":"1999"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx252"},{"article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"International Conference on Learning Representations","author":"Kipf","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.14711\/thesis-991012757468803412"},{"article-title":"Simple spectral graph convolution","volume-title":"International conference on learning representations","author":"Zhu","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20664"},{"article-title":"Bootstrapped representation learning on graphs","volume-title":"ICLR 2021 Workshop on Geometrical and Topological Representation Learning","author":"Thakoor","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3264512"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/204"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00031"},{"key":"ref29","first-page":"5812","article-title":"Graph contrastive learning with augmentations","volume":"33","author":"You","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3216630"},{"key":"ref31","article-title":"Inductive representation learning on large graphs","volume":"30","author":"Hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557428"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583441"},{"key":"ref34","first-page":"14 085","article-title":"Graph self-supervised learning with accurate discrepancy learning","volume":"35","author":"Kim","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539321"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2024,6,30]]},"location":"Yokohama, Japan","end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10650398.pdf?arnumber=10650398","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T05:18:09Z","timestamp":1725945489000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10650398\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10650398","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}