Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks

23 December 2021

Papers citing "Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks"

8 / 8 papers shown

Title
Is Machine Learning Ready for Traffic Engineering Optimization? Guillermo Bernárdez José Suárez-Varela Albert Lopez Bo-Xi Wu Shihan Xiao Xiangle Cheng Pere Barlet-Ros A. Cabellos-Aparicio 83 48 0 03 Sep 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 253 4,052 0 20 Nov 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 360 6,792 0 13 Jun 2020
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN Maik Ender Pawel Swierczynski Paul Almasan Paul Martin Knopp A. Cabellos-Aparicio GNN 48 245 0 03 Oct 2019
GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks Kai Lei Meng Qin Bo Bai Gong Zhang Min Yang 40 168 0 26 Jan 2019
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 745 3,119 0 04 Jun 2018
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 579 12,702 0 11 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 428 20,541 0 10 Sep 2014