{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:16:45Z","timestamp":1775578605892,"version":"3.50.1"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2025A1515011692"],"award-info":[{"award-number":["2025A1515011692"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515030154"],"award-info":[{"award-number":["2023A1515030154"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2024A1515011437"],"award-info":[{"award-number":["2024A1515011437"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2024ZYGXZR077"],"award-info":[{"award-number":["2024ZYGXZR077"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"TCL Science and Technology Innovation Fund","award":["20231752"],"award-info":[{"award-number":["20231752"]}]},{"name":"Research Grants Council of the Hong Kong Special Administration Region","award":["CityU 11206622"],"award-info":[{"award-number":["CityU 11206622"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1109\/tkde.2025.3622998","type":"journal-article","created":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T17:42:33Z","timestamp":1760722953000},"page":"679-693","source":"Crossref","is-referenced-by-count":1,"title":["Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering"],"prefix":"10.1109","volume":"38","author":[{"given":"Liang","family":"Peng","sequence":"first","affiliation":[{"name":"Department of Computer Science, Shantou University, Shantou, China"}]},{"given":"Yixuan","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Shantou University, Shantou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7204-7030","authenticated-orcid":false,"given":"Cheng","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Huaqiao University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8930-0039","authenticated-orcid":false,"given":"Hangjun","family":"Che","sequence":"additional","affiliation":[{"name":"Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7753-0136","authenticated-orcid":false,"given":"Man-Fai","family":"Leung","sequence":"additional","affiliation":[{"name":"School of Computing and Information Science, Faculty of Science and Engineering, Anglia Ruskin University, Cambridge, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4022-0852","authenticated-orcid":false,"given":"Si","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1530-7529","authenticated-orcid":false,"given":"Hau-San","family":"Wong","sequence":"additional","affiliation":[{"name":"Department of Computer Science, City University of Hong Kong, Hong Kong"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132967"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403140"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5843"},{"key":"ref4","first-page":"4116","article-title":"Contrastive multi-view representation learning on graphs","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Hassani"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.100"},{"key":"ref6","article-title":"Representation learning with contrastive predictive coding","author":"Oord","year":"2018"},{"key":"ref7","first-page":"5812","article-title":"Graph contrastive learning with augmentations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"You"},{"key":"ref8","article-title":"Bootstrapped representation learning on graphs","volume-title":"Proc. ICLR 2021 Workshop Geometrical Topological Representation Learn.","author":"Thakoor"},{"key":"ref9","article-title":"Large-scale representation learning on graphs via bootstrapping","author":"Thakoor","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20871"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583246"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i10.29026"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/418"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611809"},{"key":"ref15","article-title":"Graph-MLP: Node classification without message passing in graph","author":"Hu","year":"2021"},{"key":"ref16","article-title":"Localized contrastive learning on graphs","author":"Zhang","year":"2022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3271871"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26168"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17332"},{"key":"ref20","article-title":"Graph neural networks for graphs with heterophily: A survey","author":"Zheng","year":"2024"},{"key":"ref21","first-page":"24332","article-title":"ProGCL: Rethinking hard negative mining in graph contrastive learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Xia"},{"key":"ref22","first-page":"26868","article-title":"Beyond homophily: Reconstructing structure for graph-agnostic clustering","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Pan"},{"key":"ref23","article-title":"A survey of deep graph clustering: Taxonomy, challenge, application, and open resource","author":"Liu","year":"2022"},{"key":"ref24","article-title":"Variational graph auto-encoders","author":"Kipf","year":"2016"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/494"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2932096"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380214"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17198"},{"key":"ref29","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016"},{"key":"ref30","article-title":"Automated self-supervised learning for graphs","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Jin"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29664"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3278721"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3389049"},{"key":"ref34","article-title":"Deep graph infomax","volume-title":"Proc. Int. Conf. Learn. Representations (Poster)","author":"Velickovic"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20726"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3435887"},{"key":"ref37","first-page":"620","article-title":"Decoupled self-supervised learning for graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xiao"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3370918"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599380"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i14.29514"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2024\/265"},{"key":"ref42","first-page":"7793","article-title":"Beyond homophily in graph neural networks: Current limitations and effective designs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhu"},{"key":"ref43","article-title":"Geom-GCN: Geometric graph convolutional networks","volume-title":"Proc. 8th Int. Conf. Learn. Representations","author":"Pei"},{"key":"ref44","first-page":"11815","article-title":"Knowledge distillation improves graph structure augmentation for graph neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wu"},{"key":"ref45","first-page":"16129","article-title":"Simple and asymmetric graph contrastive learning without augmentations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xiao"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20700"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i17.34022"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26285"},{"key":"ref49","first-page":"10890","article-title":"R-drop: Regularized dropout for neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liang"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/226"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680843"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.spa.2025.104635"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729694"},{"key":"ref54","article-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015"},{"key":"ref55","first-page":"5171","article-title":"On variational bounds of mutual information","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Poole"},{"key":"ref56","first-page":"15535","article-title":"Learning representations by maximizing mutual information across views","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bachman"},{"key":"ref57","article-title":"Deep graph contrastive representation learning","author":"Zhu","year":"2020"},{"key":"ref58","article-title":"On mutual information maximization for representation learning","author":"Tschannen","year":"2020"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449802"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539321"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i10.28983"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3213208"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i7.26071"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767755"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557108"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1093\/comnet\/cnab014"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3238416"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3445992"},{"key":"ref70","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2017"},{"issue":"11","key":"ref71","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207304"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/11288926\/11206540.pdf?arnumber=11206540","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T03:56:07Z","timestamp":1765425367000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11206540\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":72,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2025.3622998","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]}}}