Deep Reinforcement Learning meets Graph Neural Networks: exploring a
routing optimization use case

Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case

16 October 2019

J. Suárez-Varela

Krzysztof Rusek

Pere Barlet-Ros

A. Cabellos-Aparicio

Papers citing "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"

19 / 19 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 47 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
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 37 31 0 11 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 24 38 0 06 Nov 2022
Reinforcement learning on graphs: A survey Mingshuo Nie Dongming Chen Dongqi Wang 33 45 0 13 Apr 2022
RL4ReAl: Reinforcement Learning for Register Allocation S. VenkataKeerthy Siddhartha Jain Anilava Kundu Rohit Aggarwal Albert Cohen Ramakrishna Upadrasta OffRL 36 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 37 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 13 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