{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T02:44:30Z","timestamp":1773542670715,"version":"3.50.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Swiss National Science Foundation Project \u201cALPSFORT: A Learning graPh-baSed framework FOr cybeR-physical sysTems.\u201d","award":["200021_172671"],"award-info":[{"award-number":["200021_172671"]}]},{"DOI":"10.13039\/501100001804","name":"Canada Research Chairs Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001804","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1109\/tnnls.2019.2927301","type":"journal-article","created":{"date-parts":[[2019,7,30]],"date-time":"2019-07-30T19:55:27Z","timestamp":1564516527000},"page":"1856-1869","source":"Crossref","is-referenced-by-count":36,"title":["Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9506-037X","authenticated-orcid":false,"given":"Daniele","family":"Grattarola","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3722-9784","authenticated-orcid":false,"given":"Daniele","family":"Zambon","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6384-4743","authenticated-orcid":false,"given":"Lorenzo","family":"Livi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3819-0025","authenticated-orcid":false,"given":"Cesare","family":"Alippi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"930","article-title":"A Dirichlet process mixture model for spherical data","volume":"38","author":"straub","year":"2015","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref38","volume":"319","author":"bridson","year":"2013","journal-title":"Metric Spaces of Non-Positive Curvature"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00071"},{"key":"ref32","article-title":"Autoencoding topology","author":"korman","year":"2018","journal-title":"arXiv 1803 00156"},{"key":"ref31","first-page":"1","article-title":"Hyperspherical variational auto-encoders","author":"davidson","year":"2018","journal-title":"Proc Conf Uncertainty in Artif Intell (UAI)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/362"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.01.074"},{"key":"ref36","first-page":"6341","article-title":"Poincaré embeddings for learning hierarchical representations","author":"nickel","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2546221"},{"key":"ref34","first-page":"1540","article-title":"Metrics for deep generative models","volume":"84","author":"chen","year":"2018","journal-title":"Proc AISTATS"},{"key":"ref28","article-title":"Graph convolutional matrix completion","author":"van den berg","year":"2017","journal-title":"arXiv 1706 02263"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2804443"},{"key":"ref29","article-title":"Extraction of airways using graph neural networks","author":"selvan","year":"2018","journal-title":"arXiv 1804 04436"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2233865"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2433396.2433496"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-014-0365-y"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/wics.1347"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/srep18893"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/sam.102"},{"key":"ref26","article-title":"Modeling and detecting change in temporal networks via a dynamic degree corrected stochastic block model","author":"wilson","year":"2016","journal-title":"arXiv 1605 04049"},{"key":"ref25","first-page":"1","article-title":"Detecting change points in the large-scale structure of evolving networks","volume":"15","author":"peel","year":"2015","journal-title":"Proc AAAI"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177730491"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3389\/fnsys.2015.00175"},{"key":"ref52","first-page":"3482","article-title":"Spatial temporal graph convolutional networks for skeleton-based action recognition","author":"yan","year":"2018","journal-title":"Proc AAAI"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/netn_a_00041"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2015.2471196"},{"key":"ref40","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1142\/SCS"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1126\/science.aai7488"},{"key":"ref14","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","author":"li","year":"0"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01418-6_41"},{"key":"ref16","article-title":"Variational graph auto-encoders","author":"kipf","year":"0"},{"key":"ref17","article-title":"Adversarial autoencoders","author":"makhzani","year":"0"},{"key":"ref18","article-title":"Differential geometry for model independent analysis of images and other non-Euclidean data: Recent developments","author":"bhattacharya","year":"2018","journal-title":"arXiv 1801 00898"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1140\/epjb\/e2015-60657-4"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2316836"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-012-0284-8"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489762"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.dam.2016.06.027"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780199206650.001.0001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.70735"},{"key":"ref49","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2017.111"},{"key":"ref46","author":"montgomery","year":"2007","journal-title":"Introduction to Statistical Quality Control"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/41.1-2.100"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.115"},{"key":"ref47","first-page":"3","article-title":"Teoria statistica delle classi e calcolo delle probabilita","volume":"8","author":"bonferroni","year":"1936","journal-title":"Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commericiali di Firenze"},{"key":"ref42","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"0"},{"key":"ref41","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref44","article-title":"Gated graph sequence neural networks","author":"li","year":"0"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.11"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9106620\/08782142.pdf?arnumber=8782142","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:19:56Z","timestamp":1651079996000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8782142\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":52,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2019.2927301","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6]]}}}