{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:57:43Z","timestamp":1760245063694,"version":"3.37.3"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,6]]},"DOI":"10.1109\/icassp39728.2021.9414792","type":"proceedings-article","created":{"date-parts":[[2021,5,13]],"date-time":"2021-05-13T19:53:45Z","timestamp":1620935625000},"page":"2940-2944","source":"Crossref","is-referenced-by-count":7,"title":["RGLN: Robust Residual Graph Learning Networks via Similarity-Preserving Mapping on Graphs"],"prefix":"10.1109","author":[{"given":"Jiaxiang","family":"Tang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref11","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref12","article-title":"Hypergraph neural networks","author":"feng","year":"2018","journal-title":"AAAI 2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.576"},{"key":"ref14","article-title":"Graph attention networks","author":"veli?kovi?","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICME46284.2020.9102726"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351170"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"article-title":"Revisiting semi-supervised learning with graph embeddings","year":"2016","author":"yang","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01157"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240621"},{"article-title":"Non-local graph convolutional networks for skeleton-based action recognition","year":"2018","author":"shi","key":"ref6"},{"key":"ref5","article-title":"Adaptive graph convolutional neural networks","author":"li","year":"2018","journal-title":"AAAI Conference on Artificial Intelligence (AAAI)"},{"key":"ref8","first-page":"49","article-title":"On the generalized distance in statistics","volume":"2","author":"mahalanobis","year":"1936","journal-title":"Proceedings of the National Institute of Sciences of India"},{"key":"ref7","first-page":"521","article-title":"Distance metric learning with application to clustering with side-information","author":"xing","year":"2003","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1145\/3326362","article-title":"Dynamic graph cnn for learning on point clouds","author":"wang","year":"2019","journal-title":"ACM Transactions on Graphics (TOG)"},{"article-title":"Spectral networks and locally connected networks on graphs","year":"2013","author":"bruna","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref20","first-page":"5241","article-title":"GMNN: graph markov neural networks","author":"qu","year":"2019","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref22","first-page":"945","article-title":"Multi-view convolutional neural networks for 3d shape recognition","author":"su","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref21","first-page":"1912","article-title":"3d shapenets: A deep representation for volumetric shapes","author":"wu","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref24","first-page":"652","article-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","author":"qi","year":"2017","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00035"},{"key":"ref25","first-page":"5099","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Advances in Neural Information Processing Systems (NIPS)"}],"event":{"name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2021,6,6]]},"location":"Toronto, ON, Canada","end":{"date-parts":[[2021,6,11]]}},"container-title":["ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9413349\/9413350\/09414792.pdf?arnumber=9414792","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:54Z","timestamp":1652197254000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9414792\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,6]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icassp39728.2021.9414792","relation":{},"subject":[],"published":{"date-parts":[[2021,6,6]]}}}