RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN

3 October 2019

Papers citing "RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN"

9 / 9 papers shown

Title
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus Fabien Geyer Steffen Bondorf OOD 134 8 0 24 Nov 2019
Understanding the Modeling of Computer Network Delays using Neural Networks Albert Mestres Eduard Alarcón Yusheng Ji A. Cabellos-Aparicio 26 54 0 23 Jul 2018
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 633 3,112 0 04 Jun 2018
Experience-driven Networking: A Deep Reinforcement Learning based Approach Zhiyuan Xu Jian Tang Jingsong Meng Weiyi Zhang Yanzhi Wang C. Liu Dejun Yang OffRL 49 362 0 17 Jan 2018
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 388 2,507 0 08 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 480 7,431 0 04 Apr 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 673 9,290 0 06 Jun 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 490 12,692 0 11 Dec 2014