{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:36:52Z","timestamp":1730230612267,"version":"3.28.0"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"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":[[2020,5]]},"DOI":"10.1109\/icassp40776.2020.9054190","type":"proceedings-article","created":{"date-parts":[[2020,4,9]],"date-time":"2020-04-09T20:21:13Z","timestamp":1586463673000},"page":"5345-5349","source":"Crossref","is-referenced-by-count":0,"title":["Metric Representations of Networks: A Uniqueness Result"],"prefix":"10.1109","author":[{"given":"Santiago","family":"Segarra","sequence":"first","affiliation":[{"name":"Rice University,Department of Electrical and Computer Engineering"}]},{"given":"T. Mitchell","family":"Roddenberry","sequence":"additional","affiliation":[{"name":"Rice University,Department of Electrical and Computer Engineering"}]},{"given":"Facundo","family":"Memoli","sequence":"additional","affiliation":[{"name":"Ohio State University,Department of Mathematics and the Department of Computer Science and Engineering"}]},{"given":"Alejandro","family":"Ribeiro","sequence":"additional","affiliation":[{"name":"University of Pennsylvania,Department of Electrical and Systems Engineering"}]}],"member":"263","reference":[{"key":"ref33","first-page":"352","article-title":"Hierar-&#x00B4; chical quasi-clustering methods for asymmetric networks","volume":"32","author":"carlsson","year":"2014","journal-title":"International Conference on Machine Learning (ICML)"},{"journal-title":"Pattern Recognition and Machine Learning","year":"2006","author":"bishop","key":"ref32"},{"key":"ref31","article-title":"Worst-case analysis of a new heuristic for the travelling salesman problem","author":"christofides","year":"1976","journal-title":"DTIC Document Tech Rep"},{"key":"ref30","first-page":"506","article-title":"Approximation schemes for metric bisection and partitioning","author":"fernandez de la vega","year":"2004","journal-title":"Proc of the 3rd ACM-SIAM Symp on Discr Algo (SODA)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-46439-5_4"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-33037-0_14"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1007\/BF02288916","article-title":"Multidimensional scaling: I. theory and method","volume":"17","author":"torgerson","year":"1952","journal-title":"Psychometrika"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289083"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289565"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289630"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.4135\/9781412985130"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"article-title":"The traveling salesman problem: a guided tour of combinatorial optimization","year":"1985","author":"lawler","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/324133.324140"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1090\/gsm\/033"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.74.036104"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/1007352.1007438"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/BF02579448"},{"key":"ref5","first-page":"1019","article-title":"Complex networks and decentralized search algorithms","volume":"3","author":"kleinberg","year":"2006","journal-title":"Proc Int Congr Math (ICM)"},{"key":"ref8","first-page":"311","article-title":"Data structures and algorithms for nearest neighbor search in general metric spaces","author":"yianilos","year":"1993","journal-title":"Proc of the 3rd ACM-SIAM Symp on Discr Algo (SODA)"},{"journal-title":"Distributed Algorithms","year":"1996","author":"lynch","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nature03204"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/0020-0190(91)90074-R"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkg340"},{"key":"ref20","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Proc Neural Info Proc Systems (NIPS)"},{"key":"ref22","first-page":"1425","article-title":"Characterization, stability and con-&#x00B4; vergence of hierarchical clustering methods","volume":"11","author":"carlsson","year":"2010","journal-title":"J Mach Learn Res (JMLR)"},{"key":"ref21","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Int Conf Learning Rep (ICLR)"},{"key":"ref24","first-page":"5219","article-title":"Ax-&#x00B4; iomatic construction of hierarchical clustering in asymmetric networks","author":"carlsson","year":"2013","journal-title":"IEEE Intl Conf Acoust Speech and Sig Proc (ICASSP)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-012-9141-9"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11634-017-0299-5"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSIPN.2017.2662622"}],"event":{"name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2020,5,4]]},"location":"Barcelona, Spain","end":{"date-parts":[[2020,5,8]]}},"container-title":["ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9040208\/9052899\/09054190.pdf?arnumber=9054190","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:57:50Z","timestamp":1659484670000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9054190\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/icassp40776.2020.9054190","relation":{},"subject":[],"published":{"date-parts":[[2020,5]]}}}