Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks

22 June 2017

Joan Bruna

Papers citing "Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks"

21 / 21 papers shown

Title
Graph Learning-based Fleet Scheduling for Urban Air Mobility under Operational Constraints, Varying Demand & Uncertainties Steve Paul Jhoel Witter Souma Chowdhury AI4TS 37 2 0 09 Jan 2024
Equivariant Deep Weight Space Alignment Aviv Navon Aviv Shamsian Ethan Fetaya Gal Chechik Nadav Dym Haggai Maron 26 21 0 20 Oct 2023
Efficient Planning of Multi-Robot Collective Transport using Graph Reinforcement Learning with Higher Order Topological Abstraction Steve Paul Wenyuan Li B. Smyth Yuzhou Chen Yulia R. Gel Souma Chowdhury 16 7 0 15 Mar 2023
Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports Prajit K. Kumar Jhoel Witter Steve Paul Karthik Dantu Souma Chowdhury 14 3 0 12 Feb 2023
Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing Longkang Li Baoyuan Wu 16 3 0 05 Jul 2022
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 22 3 0 10 Aug 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 24 130 0 11 Jun 2021
Solve routing problems with a residual edge-graph attention neural network Kun Lei Peng Guo Yi Wang Xiao Wu Wenchao Zhao 22 54 0 06 May 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 35 108 0 08 Mar 2021
The Transformer Network for the Traveling Salesman Problem Xavier Bresson T. Laurent 19 85 0 04 Mar 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems W. Kool H. V. Hoof J. Gromicho Max Welling 42 115 0 23 Feb 2021
Reversible Action Design for Combinatorial Optimization with Reinforcement Learning Fan Yao Renqin Cai Hongning Wang 27 11 0 14 Feb 2021
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
Can Graph Neural Networks Count Substructures? Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 57 319 0 10 Feb 2020
Learning Improvement Heuristics for Solving Routing Problems Yaoxin Wu Wen Song Zhiguang Cao Jie M. Zhang Andrew Lim 31 281 0 12 Dec 2019
Neural Consciousness Flow Xiaoran Xu Wei Feng Zhiqing Sun Zhihong Deng GNN AI4CE 25 2 0 30 May 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 20 275 0 29 May 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon Yoshua Bengio Andrea Lodi Antoine Prouvost 17 1,347 0 15 Nov 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 94 3,078 0 04 Jun 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 11 1,174 0 22 Mar 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,239 0 24 Nov 2016