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On the Robustness of Deep Learning-predicted Contention Models for
  Network Calculus
v1v2 (latest)

On the Robustness of Deep Learning-predicted Contention Models for Network Calculus

24 November 2019
Fabien Geyer
Steffen Bondorf
    OOD
ArXiv (abs)PDFHTML

Papers citing "On the Robustness of Deep Learning-predicted Contention Models for Network Calculus"

11 / 11 papers shown
Title
Network Calculus with Flow Prolongation -- A Feedforward FIFO Analysis
  enabled by ML
Network Calculus with Flow Prolongation -- A Feedforward FIFO Analysis enabled by ML
Fabien Geyer
Alexander Scheffler
Steffen Bondorf
74
6
0
07 Feb 2022
Graph-based Deep Learning for Communication Networks: A Survey
Graph-based Deep Learning for Communication Networks: A Survey
Weiwei Jiang
GNNAI4CE
103
199
0
04 Jun 2021
RouteNet: Leveraging Graph Neural Networks for network modeling and
  optimization in SDN
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
75
248
0
03 Oct 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
163
1,335
0
10 Mar 2019
Learning to Solve NP-Complete Problems - A Graph Neural Network for
  Decision TSP
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP
Marcelo O. R. Prates
Pedro H. C. Avelar
Henrique Lemos
Luís C. Lamb
Moshe Y. Vardi
GNN
74
179
0
08 Sep 2018
Relational inductive biases, deep learning, and graph networks
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
AI4CENAI
797
3,130
0
04 Jun 2018
Learning a SAT Solver from Single-Bit Supervision
Learning a SAT Solver from Single-Bit Supervision
Daniel Selsam
Matthew Lamm
Benedikt Bünz
Percy Liang
L. D. Moura
D. Dill
NAI
116
426
0
11 Feb 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
495
20,343
0
30 Oct 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
602
7,505
0
04 Apr 2017
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
359
3,293
0
17 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
249
3,357
0
30 Sep 2015
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