{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T11:10:30Z","timestamp":1745838630245,"version":"3.37.3"},"reference-count":32,"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"}],"funder":[{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]},{"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":[[2020,12,10]]},"DOI":"10.1109\/bigdata50022.2020.9377854","type":"proceedings-article","created":{"date-parts":[[2021,3,19]],"date-time":"2021-03-19T21:10:21Z","timestamp":1616188221000},"page":"5247-5253","source":"Crossref","is-referenced-by-count":11,"title":["Large-scale Sparse Structural Node Representation"],"prefix":"10.1109","author":[{"given":"Edoardo","family":"Serra","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikel","family":"Joaristi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alfredo","family":"Cuzzocrea","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-6226-1"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"article-title":"Snap datasets: Stanford large network dataset collection","year":"2014","author":"leskovec","key":"ref30"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/362"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"article-title":"Graph neural networks: A review of methods and applications","year":"2018","author":"zhou","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2014.2307454"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2020.101798"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2851613.2851662"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3374664.3375744"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2666158.2668454"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3139293"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcss.2012.09.013"},{"article-title":"Finding structure with randomness: Stochastic algorithms for constructing approximate matrix decompositions","year":"2009","author":"halko","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220025"},{"article-title":"Sketched svd: Recovering spectral features from compressive measurements","year":"2012","author":"gilbert","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098061"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"article-title":"The weisfeiler-lehman method and graph isomorphism testing","year":"2011","author":"douglas","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220068"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-019-0607-5"},{"key":"ref9","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM.2018.8508497"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66399-9_23"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2017.2764885"},{"key":"ref21","first-page":"289","article-title":"Combining multidimensional user models and knowledge representation and management techniques for making web services knowledge-aware","volume":"4","author":"cuzzocrea","year":"2006","journal-title":"Web Intelligence and Agent Systems An international Journal"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/BF01937276"},{"key":"ref23","article-title":"Network representation learning: A survey","author":"zhang","year":"2018","journal-title":"IEEE Transactions on Big Data"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44795-4_42"},{"article-title":"A tutorial on principal component analysis","year":"2014","author":"shlens","key":"ref25"}],"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\/09377854.pdf?arnumber=9377854","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,27]],"date-time":"2022-06-27T15:42:58Z","timestamp":1656344578000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9377854\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,10]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/bigdata50022.2020.9377854","relation":{},"subject":[],"published":{"date-parts":[[2020,12,10]]}}}