{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T16:45:00Z","timestamp":1743266700497,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000},"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":[[2020,12,10]]},"DOI":"10.1109\/bigdata50022.2020.9378022","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T17:10:21Z","timestamp":1616173821000},"page":"5792-5794","source":"Crossref","is-referenced-by-count":1,"title":["On Node Embedding of Uncertain Networks"],"prefix":"10.1109","author":[{"given":"Hoang H.","family":"Nguyen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sergej","family":"Zerr","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tuan-Anh","family":"Hoang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020569"},{"article-title":"Semi-supervised classification with graph convolutional networks","year":"2016","author":"kipf","key":"ref11"},{"key":"ref12","article-title":"Variational graph auto-encoders","author":"kipf","year":"2016","journal-title":"Workshop on Bayesian Deep Learning NIPS"},{"key":"ref13","first-page":"325","article-title":"Clustering large probabilistic graphs","volume":"25","author":"kollios","year":"2011","journal-title":"TKDE"},{"journal-title":"SNAP Datasets Stanford large network dataset collection","year":"2014","author":"leskovec","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.10.2756"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btp311"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.11"},{"key":"ref18","article-title":"Spectral regularization algorithms for learning large incomplete matrices","author":"mazumder","year":"2010","journal-title":"JMLR"},{"key":"ref19","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"NIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2618243.2618277"},{"key":"ref27","article-title":"Mining frequent subgraph patterns from uncertain graph data","author":"zou","year":"2010","journal-title":"TKDE"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2849727"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.10.030"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2307\/1932409"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132885"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"journal-title":"Deep neural networks for learning graph representations","year":"2016","author":"cao","key":"ref2"},{"key":"ref9","article-title":"&#x00C9;tude comparative de la distribution florale dans une portion des alpes et des jura","author":"jaccard","year":"1901","journal-title":"Bull Soc Vaudoise Sci Nat"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.14778\/2350229.2350254"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.1938"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2819651"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.22"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835885"}],"event":{"name":"2020 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2020,12,10]]},"location":"Atlanta, GA, USA","end":{"date-parts":[[2020,12,13]]}},"container-title":["2020 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9377717\/9377728\/09378022.pdf?arnumber=9378022","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T11:46:49Z","timestamp":1656330409000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9378022\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9378022","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}