Rethinking the Capacity of Graph Neural Networks for Branching Strategy

11 February 2024

Papers citing "Rethinking the Capacity of Graph Neural Networks for Branching Strategy"

7 / 7 papers shown

Title
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver Tom Marty Tristan François Pierre Tessier Louis Gautier Louis-Martin Rousseau Quentin Cappart 24 7 0 05 Jan 2023
On Representing Linear Programs by Graph Neural Networks Ziang Chen Jialin Liu Xinshang Wang Jian Lu W. Yin AI4CE 42 31 0 25 Sep 2022
Learning to branch with Tree MDPs Lara Scavuzzo F. Chen Didier Chételat Maxime Gasse Andrea Lodi Neil Yorke-Smith K. Aardal AI4CE 35 51 0 23 May 2022
Adaptive Cut Selection in Mixed-Integer Linear Programming Mark Turner Thorsten Koch Felipe Serrano Michael Winkler 34 28 0 22 Feb 2022
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 107 238 0 23 Dec 2020
The expressive power of kth-order invariant graph networks Floris Geerts 120 37 0 23 Jul 2020
A Survey on The Expressive Power of Graph Neural Networks Ryoma Sato 159 170 0 09 Mar 2020