Combinatorial Optimization with Physics-Inspired Graph Neural Networks

Combinatorial Optimization with Physics-Inspired Graph Neural Networks

2 July 2021

Papers citing "Combinatorial Optimization with Physics-Inspired Graph Neural Networks"

15 / 65 papers shown

Title
Graph Contrastive Learning for Multi-omics Data Nishant Rajadhyaksha Aarushi Chitkara 29 6 0 03 Jan 2023
Learning Feasibility of Factored Nonlinear Programs in Robotic Manipulation Planning Joaquim Ortiz de Haro Jung-Su Ha Danny Driess E. Karpas Marc Toussaint 27 2 0 22 Oct 2022
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction Hansheng Xue Vaibhav Rajan Yu Lin 16 4 0 21 Oct 2022
Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems like Max-Cut S. Boettcher GNN 36 22 0 02 Oct 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 51 83 0 07 Sep 2022
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions Nikolaos Karalias Joshua Robinson Andreas Loukas Stefanie Jegelka 37 8 0 08 Aug 2022
Supplementing Recurrent Neural Networks with Annealing to Solve Combinatorial Optimization Problems Shoummo Ahsan Khandoker Jawaril Munshad Abedin Mohamed Hibat-Allah 18 8 0 17 Jul 2022
Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set Maria Chiara Angelini F. Ricci-Tersenghi GNN AI4CE 11 32 0 27 Jun 2022
Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset Generation Axel Wassington S. Abadal 11 4 0 27 May 2022
Fast Continuous and Integer L-shaped Heuristics Through Supervised Learning Eric Larsen Emma Frejinger B. Gendron Andrea Lodi 22 19 0 02 May 2022
Physics-Informed Graph Learning Ciyuan Peng Feng Xia Vidya Saikrishna Huan Liu PINN AI4CE 37 6 0 22 Feb 2022
Graph Coloring with Physics-Inspired Graph Neural Networks M. Schuetz J. K. Brubaker Z. Zhu H. Katzgraber AI4CE 24 33 0 03 Feb 2022
Graph neural network initialisation of quantum approximate optimisation Nishant Jain Brian Coyle E. Kashefi N. Kumar GNN AI4CE 38 48 0 04 Nov 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 347 0 18 Feb 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,944 0 09 Jun 2018