{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T12:17:18Z","timestamp":1730204238638,"version":"3.28.0"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,8,21]],"date-time":"2024-08-21T00:00:00Z","timestamp":1724198400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,21]],"date-time":"2024-08-21T00:00:00Z","timestamp":1724198400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,21]]},"DOI":"10.1109\/ccta60707.2024.10666519","type":"proceedings-article","created":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T17:35:04Z","timestamp":1726076104000},"page":"73-78","source":"Crossref","is-referenced-by-count":1,"title":["An Optimal Transport Approach for Network Regression"],"prefix":"10.1109","author":[{"given":"Alex G.","family":"Zalles","sequence":"first","affiliation":[{"name":"Rice University,Department of Computational Applied Mathematics and Operations Research,Houston,TX,USA,77005"}]},{"given":"Kai M.","family":"Hung","sequence":"additional","affiliation":[{"name":"Rice University,Department of Computer Science,Houston,TX,USA,77005"}]},{"given":"Ann E.","family":"Finneran","sequence":"additional","affiliation":[{"name":"Rice University,Department of Biosciences,Houston,TX,USA,77005"}]},{"given":"Lydia","family":"Beaudrot","sequence":"additional","affiliation":[{"name":"Rice University,Department of Biosciences,Houston,TX,USA,77005"}]},{"given":"C\u00e9sar A.","family":"Uribe","sequence":"additional","affiliation":[{"name":"Rice University,Department of Electrical and Computer Engineering,Houston,TX,USA,77005"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2514\/3.2056"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-21554-0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2307\/1914072"},{"key":"ref4","article-title":"Machine learning on graphs: A model and comprehensive taxonomy","volume":"2005.03675","author":"Chami","year":"2022"},{"key":"ref5","article-title":"Link prediction in graphs with autoregressive features","volume":"25","author":"Richard","year":"2012","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2022.2074434"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2307\/2258730"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3148116"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2017.2690401"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-85729-033-5"},{"issue":"320","key":"ref11","first-page":"1","article-title":"Network regression with graph Laplacians","volume":"23","author":"Zhou","year":"2022","journal-title":"Journal of Machine Learning Research"},{"key":"ref12","article-title":"Got: an optimal transport framework for graph comparison","volume":"32","author":"Petric Maretic","year":"2019","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2602809"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20738"},{"article-title":"Bures-wasserstein means of graphs","year":"2023","author":"Haasler","key":"ref15"},{"key":"ref16","article-title":"Learning to predict graphs with fused Gromov-Wasserstein barycenters","volume":"2202.03813","author":"Brogat-Motte","year":"2022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1214\/21-AOS2163"},{"issue":"4","key":"ref18","first-page":"215","article-title":"Les \u00e9l\u00e9ments al\u00e9atoires de nature quelconque dans un espace distanci\u00e9","volume":"10","author":"Fr\u00e9chet","year":"1948","journal-title":"Annales de l\u2019institut Henri Poincar\u00e9"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1214\/17-AOS1624"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tit.2024.3453778"},{"key":"ref21","article-title":"Wasserstein regression with empirical measures and density estimation for sparse data","volume":"2308.12540","author":"Zhou","year":"2023"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.1109\/CCTA60707.2024.10666519","article-title":"An optimal transport approach for network regression","author":"Zalles","year":"2024"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28650-9_4"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378333"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.laa.2018.01.009"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1198\/tech.2006.s352"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CDC45484.2021.9683525"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1307\/mmj\/1029003026"},{"article-title":"Barycenter estimation of positive semi-definite matrices with Bures-Wasserstein distance","year":"2023","author":"Zheng","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmaa.2016.04.045"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s41884-021-00052-8"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10444-019-09693-x"},{"volume-title":"Gradient flows: in metric spaces and in the space of probability measures","year":"2005","author":"Ambrosio","key":"ref34"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1093\/imanum\/drv016"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1093\/imanum\/draa086"},{"key":"ref37","article-title":"The fr\u00e9chet mean and statistics in non-euclidean spaces","volume-title":"Ph.D. dissertation","author":"Sch\u00f6tz","year":"2021"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-31351-7_4"},{"year":"2023","key":"ref39","article-title":"Tlc trip record data"},{"article-title":"Nyc coronavirus disease 2019 (covid-19) data","year":"2023","author":"Zhou","key":"ref40"}],"event":{"name":"2024 IEEE Conference on Control Technology and Applications (CCTA)","start":{"date-parts":[[2024,8,21]]},"location":"Newcastle upon Tyne, United Kingdom","end":{"date-parts":[[2024,8,23]]}},"container-title":["2024 IEEE Conference on Control Technology and Applications (CCTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10666388\/10666504\/10666519.pdf?arnumber=10666519","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T11:39:15Z","timestamp":1726141155000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10666519\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,21]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/ccta60707.2024.10666519","relation":{},"subject":[],"published":{"date-parts":[[2024,8,21]]}}}