{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T06:25:42Z","timestamp":1766471142214,"version":"3.48.0"},"reference-count":34,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T00:00:00Z","timestamp":1761523200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T00:00:00Z","timestamp":1761523200000},"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":[[2025,10,27]]},"DOI":"10.23919\/cnsm67658.2025.11297510","type":"proceedings-article","created":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T18:40:10Z","timestamp":1766428810000},"page":"1-9","source":"Crossref","is-referenced-by-count":0,"title":["GPG-VNFE: Towards Foundation Models via Graph Pretraining for Generalizable VNF Embedding"],"prefix":"10.23919","author":[{"given":"Omar","family":"Houidi","sequence":"first","affiliation":[{"name":"Télécom SudParis Institut Polytechnique de Paris,SAMOVAR,Palaiseau,France,91120"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nour-El-Houda","family":"Yellas","sequence":"additional","affiliation":[{"name":"Télécom SudParis Institut Polytechnique de Paris,SAMOVAR,Palaiseau,France,91120"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oussama","family":"Soualah","sequence":"additional","affiliation":[{"name":"OS-Consulting, 79 avenue François Mitterrand,Athis-Mons,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Djamal","family":"Zeghlache","sequence":"additional","affiliation":[{"name":"OS-Consulting, 79 avenue François Mitterrand,Athis-Mons,France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2018.01.021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2866942"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/noms59830.2024.10575040"},{"key":"ref4","first-page":"5812","article-title":"Graph contrastive learning with augmentations","volume":"33","author":"You","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref5","article-title":"Infograph: Unsupervised and semi-supervised graphlevel representation learning via mutual information maximization","author":"Sun","year":"2019","journal-title":"arXiv preprint arXiv:1908.01000"},{"key":"ref6","first-page":"12121","article-title":"Graph contrastive learning automated","volume-title":"International conference on machine learning","author":"You"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498416"},{"key":"ref8","article-title":"Variational graph auto-encoders","author":"Kipf","year":"2016","journal-title":"arXiv preprint arXiv:1611.07308"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/INM.2015.7140281"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/NOMS56928.2023.10154423"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3159796"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2019.01.041"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2018.8486275"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2017.8254727"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3055693"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC.2018.8319250"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2019.2947905"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.23919\/APNOMS52696.2021.9562610"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.23919\/CNSM59352.2023.10327825"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2018.2873225"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2017.2671867"},{"key":"ref22","first-page":"4116","article-title":"Contrastive multiview representation learning on graphs","volume-title":"International conference on machine learning","author":"Hassani"},{"key":"ref23","article-title":"Representation learning with contrastive predictive coding","author":"den Oord","year":"2018","journal-title":"arXiv preprint arXiv:1807.03748"},{"key":"ref24","first-page":"1174","article-title":"Stochastic video generation with a learned prior","volume-title":"International conference on machine learning","author":"Denton"},{"key":"ref25","first-page":"537","article-title":"Compressed sensing using generative models","volume-title":"International conference on machine learning","author":"Bora"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2858752"},{"key":"ref27","first-page":"5708","article-title":"GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models","volume-title":"International conference on machine learning","author":"You"},{"key":"ref28","article-title":"Learning deep generative models of graphs","author":"Li","year":"2018","journal-title":"arXiv preprint arXiv:1803.03324"},{"key":"ref29","first-page":"6827","article-title":"What makes for good views for contrastive learning? Advances in neural information processing systems","volume":"33","author":"Tian","year":"2020"},{"key":"ref30","first-page":"20437","article-title":"Graph information bottleneck","volume":"33","author":"Wu","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref31","article-title":"Tudataset: A collection of benchmark datasets for learning with graphs","author":"Morris","year":"2020","journal-title":"arXiv preprint arXiv:2007.08663"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.2986662"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500964"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2014.6847918"}],"event":{"name":"2025 21st International Conference on Network and Service Management (CNSM)","start":{"date-parts":[[2025,10,27]]},"location":"Bologna, Italy","end":{"date-parts":[[2025,10,31]]}},"container-title":["2025 21st International Conference on Network and Service Management (CNSM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11297200\/11297407\/11297510.pdf?arnumber=11297510","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T06:23:51Z","timestamp":1766471031000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11297510\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":34,"URL":"https:\/\/doi.org\/10.23919\/cnsm67658.2025.11297510","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]}}}