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1910.07421
Cited By
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
16 October 2019
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
AI4CE
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Papers citing
"Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"
17 / 17 papers shown
Title
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Michael Doherty
Robin Matzner
Rasoul Sadeghi
Polina Bayvel
Alejandra Beghelli
65
0
0
18 Feb 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning
N. Bousias
Stefanos Pertigkiozoglou
Kostas Daniilidis
George Pappas
AI4CE
76
0
0
02 Jan 2025
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
Alexei Pisacane
Victor-Alexandru Darvariu
Mirco Musolesi
23
0
0
12 Sep 2024
From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex?
Yannik Keller
Jannis Blüml
Gopika Sudhakaran
Kristian Kersting
GNN
19
0
0
22 Nov 2023
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
Lixia Wu
Haomin Wen
Haoyuan Hu
Xiaowei Mao
Yutong Xia
...
Y. Liang
Liuqing Yang
Roger Zimmermann
Youfang Lin
Huaiyu Wan
45
8
0
19 Jun 2023
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering
Guillermo Bernárdez
José Suárez-Varela
Albert Lopez
Xiang Shi
Shihan Xiao
Xiangle Cheng
Pere Barlet-Ros
A. Cabellos-Aparicio
33
24
0
31 Mar 2023
Multi-Robot Planning on Dynamic Topological Graphs using Mixed-Integer Programming
Cora A. Dimmig
Kevin C. Wolfe
Joseph L. Moore
23
7
0
21 Mar 2023
Networked Restless Bandits with Positive Externalities
Christine Herlihy
John P. Dickerson
21
3
0
09 Dec 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li
Haobo Gao
Yunxuan Gao
Jianxiong Guo
Weili Wu
21
38
0
06 Nov 2022
RL4ReAl: Reinforcement Learning for Register Allocation
S. VenkataKeerthy
Siddhartha Jain
Anilava Kundu
Rohit Aggarwal
Albert Cohen
Ramakrishna Upadrasta
OffRL
33
5
0
05 Apr 2022
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
35
46
0
03 Sep 2021
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks
J. Suárez-Varela
Miquel Ferriol Galmés
Albert Lopez
Paul Almasan
Guillermo Bernárdez
...
H. Wissing
Bo-Xi Wu
Shihan Xiao
Pere Barlet-Ros
A. Cabellos-Aparicio
32
17
0
26 Jul 2021
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook
Eren Kurshan
Hongda Shen
GNN
24
32
0
02 Mar 2021
Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook
Eren Kurshan
Honda Shen
Haojie Yu
GNN
FaML
35
26
0
02 Mar 2021
Relational Deep Reinforcement Learning for Routing in Wireless Networks
Victoria Manfredi
Alicia P. Wolfe
Bing Wang
X. Zhang
11
8
0
31 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
280
1,400
0
01 Dec 2016
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