{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T18:48:38Z","timestamp":1763664518823,"version":"3.28.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"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":[[2020,12,7]]},"DOI":"10.1109\/asonam49781.2020.9381430","type":"proceedings-article","created":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T20:17:37Z","timestamp":1616617057000},"page":"486-493","source":"Crossref","is-referenced-by-count":4,"title":["VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions"],"prefix":"10.1109","author":[{"given":"Stefanos","family":"Antaris","sequence":"first","affiliation":[]},{"given":"Dimitrios","family":"Rafailidis","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2957953"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2018.2795704"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1504\/IJAACS.2018.095306"},{"key":"ref10","article-title":"Dyngem: Deep embedding method for dynamic graphs","volume":"abs 1805 11273","author":"goyal","year":"2018","journal-title":"CoRR"},{"key":"ref11","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"NIPS"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11257","article-title":"Dynamic Network Embedding by Modelling Triadic Closure Process","author":"zhou","year":"2018","journal-title":"AAAI"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.06.024"},{"journal-title":"Variational graph recurrent neural networks","year":"2019","author":"hajiramezanali","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5984"},{"key":"ref16","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371845"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806512"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939751"},{"journal-title":"GDPR Regulation Europe","year":"2020","key":"ref4"},{"key":"ref28","first-page":"1","article-title":"On the impact of zero-padding in network coding efficiency with internet traffic and video traces","author":"taghouti","year":"0","journal-title":"European Wireless 2016 22th European Wireless Conference EW"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54328-4_5"},{"journal-title":"Adam A method for stochastic optimization","year":"2014","author":"kingma","key":"ref27"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-017-0478-5"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/GIIS.2017.8169813"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-16946-6_23"},{"key":"ref8","first-page":"52","article-title":"Representation learning on graphs: Methods and applications","volume":"40","author":"hamilton","year":"2017","journal-title":"IEEE Data Eng Bull"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2713168.2713182"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6940-2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.1609\/icwsm.v14i1.7305","article-title":"Gossip and attend: Context-sensitive graph representation learning","author":"kefato","year":"2020","journal-title":"ICWSM"},{"key":"ref21","article-title":"Graph Attention Networks","author":"veli?kovi?","year":"0","journal-title":"International Conference on Learning Representations"},{"journal-title":"Dynamic joint variational graph autoencoders","year":"2019","author":"mahdavi","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2952881"},{"key":"ref26","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume":"9","author":"glorot","year":"2010","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics"},{"journal-title":"Structured sequence modeling with graph convolutional recurrent networks","year":"2016","author":"seo","key":"ref25"}],"event":{"name":"2020 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","start":{"date-parts":[[2020,12,7]]},"location":"The Hague, Netherlands","end":{"date-parts":[[2020,12,10]]}},"container-title":["2020 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9381192\/9381291\/09381430.pdf?arnumber=9381430","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T22:33:46Z","timestamp":1698100426000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9381430\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,7]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/asonam49781.2020.9381430","relation":{},"subject":[],"published":{"date-parts":[[2020,12,7]]}}}