{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T16:02:30Z","timestamp":1772121750011,"version":"3.50.1"},"reference-count":50,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T00:00:00Z","timestamp":1687132800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T00:00:00Z","timestamp":1687132800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61832013,62172275,62072304,62172277"],"award-info":[{"award-number":["61832013,62172275,62072304,62172277"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality (STCSM)","doi-asserted-by":"publisher","award":["19511120300"],"award-info":[{"award-number":["19511120300"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,19]]},"DOI":"10.1109\/iwqos57198.2023.10188804","type":"proceedings-article","created":{"date-parts":[[2023,7,27]],"date-time":"2023-07-27T17:21:00Z","timestamp":1690478460000},"page":"1-10","source":"Crossref","is-referenced-by-count":3,"title":["EAGLE: Heterogeneous GNN-based Network Performance Analysis"],"prefix":"10.1109","author":[{"given":"Jiacheng","family":"Liu","sequence":"first","affiliation":[{"name":"The Chinese University of Hong Kong,Department of Computer Science and Engineering,China"}]},{"given":"Feilong","family":"Tang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China"}]},{"given":"Long","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computing Science, Simon Fraser University,Canada"}]},{"given":"Xu","family":"Li","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China"}]},{"given":"Jiadi","family":"Yu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China"}]},{"given":"Yanmin","family":"Zhu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University,Department of Computer Science and Engineering,Shanghai,China"}]},{"given":"Yichuan","family":"Yu","sequence":"additional","affiliation":[{"name":"Huawei Technologies Company, Ltd.,Shanghai,China"}]},{"given":"Yanqin","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Data Science and Engineering, East China Normal University,Shanghai,China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2913776"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3000405"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2020.3001454"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2012.2191157"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3229607.3229613"},{"key":"ref10","first-page":"3050","article-title":"A deep reinforcement learning perspective on internet congestion control","author":"jay","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2014.2298136"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/SC41405.2020.00082"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/11502593_13"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2007.896501"},{"key":"ref50","article-title":"Modeling relational data with graph convolutional networks","author":"schlichtkrull","year":"0","journal-title":"ESWC"},{"key":"ref46","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"0","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313421"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1515\/9781400841356.195"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428269"},{"key":"ref41","article-title":"Graph attention networks","author":"velickovic","year":"0","journal-title":"ICLRE"},{"key":"ref44","first-page":"89","article-title":"Community detection using restrained random-walk similarity","volume":"43","author":"okuda","year":"2021","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref49","article-title":"Heterogeneous graph attention network","author":"xiao","year":"0","journal-title":"WWW"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3232755.3232783"},{"key":"ref7","volume":"85","author":"kelly","year":"1979","journal-title":"Reversibility and Stochastic Networks"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2853708"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM48099.2022.10001189"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2021.3119871"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3452296.3472926"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.119.2200080"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2022.3215718"},{"key":"ref35","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"0","journal-title":"ICLRE"},{"key":"ref34","article-title":"Graph wavelet neural network","author":"xu","year":"2019","journal-title":"ICLRE"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5642"},{"key":"ref36","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"0","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref30","article-title":"How powerful are spectral graph neural networks","author":"wang","year":"0","journal-title":"International Conference on Machine Learning (ICML)"},{"key":"ref33","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"0","journal-title":"Conference on Neural Information Processing Systems (NeurIPS)"},{"key":"ref32","article-title":"Spectral networks and locally connected networks on graphs","volume":"abs 1312 6203","author":"bruna","year":"0","journal-title":"ICLRE"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2023.3248376"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2022.3172848"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS49936.2021.00089"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.05.060"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.04.014"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796726"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2968498"},{"key":"ref25","first-page":"611","article-title":"Auto: Adaptive congestion control based on multi-objective reinforcement learning for the satellite-ground integrated network","author":"li","year":"0","journal-title":"USENIX Annual Technical Conference"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.nonrwa.2012.07.025"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3229543.3229549"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11235-006-9028-7"},{"key":"ref28","article-title":"Self-supervised learning of graph neural networks: A unified review","author":"xie","year":"2022","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3174515"},{"key":"ref29","article-title":"How powerful are graph neural networks?","author":"xu","year":"0","journal-title":"ICLRE"}],"event":{"name":"2023 IEEE\/ACM 31st International Symposium on Quality of Service (IWQoS)","location":"Orlando, FL, USA","start":{"date-parts":[[2023,6,19]]},"end":{"date-parts":[[2023,6,21]]}},"container-title":["2023 IEEE\/ACM 31st International Symposium on Quality of Service (IWQoS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10188660\/10188690\/10188804.pdf?arnumber=10188804","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T17:38:46Z","timestamp":1692034726000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10188804\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,19]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/iwqos57198.2023.10188804","relation":{},"subject":[],"published":{"date-parts":[[2023,6,19]]}}}