Page 81 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks
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ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4




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          We  tested  NetXplain  over  RouteNet,  a  GNN  model  that   [7] Justin Gilmer, Samuel S Schoenholz, Patrick F Riley,
          predicts per‑source‑destination delays in computer net‑    Oriol Vinyals, and George E Dahl. “Neural message
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          networks  up  to  24  nodes.  Moreover,  we  discussed  the
                                                                     Danilo Jimenez Rezende, et al. “Interaction net‑
          potential  applications  that  can  have  this  GNN‑based  ex‑
                                                                     works for learning about objects, relations and
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          ACKNOWLEDGEMENT                                            works for web‑scale recommender systems”. In:
                                                                     Proceedings of the ACM SIGKDD International Con‑
          This  work  has  been  supported  by  the  Spanish  MINECO   ference on Knowledge Discovery & Data Mining.
          under contract TEC2017‑90034‑C2‑1‑R (ALLIANCE) and         2018, pp. 974–983.
          the Catalan Institution for Research and Advanced Stud‑   [11] Wenqi Fan et al. “Graph neural networks for social
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