MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers

27 May 2022

Papers citing "MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers"

7 / 7 papers shown

Title
From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto S. Wasserkrug Léonard Boussioux D. Hertog F. Mirzazadeh Ilker Birbil Jannis Kurtz Donato Maragno LLMAG 37 3 0 26 Feb 2024
Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem Bruno Machado Pacheco L. O. Seman C. A. Rigo E. Camponogara E. Bezerra L. Coelho 33 1 0 24 Mar 2023
Machine Learning for Cutting Planes in Integer Programming: A Survey Arnaud Deza Elias Boutros Khalil 25 24 0 17 Feb 2023
Machine Learning for K-adaptability in Two-stage Robust Optimization Esther Julien Krzysztof Postek cS. .Ilker Birbil 31 2 0 20 Oct 2022
On Representing Linear Programs by Graph Neural Networks Ziang Chen Jialin Liu Xinshang Wang Jian Lu W. Yin AI4CE 60 31 0 25 Sep 2022
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 32 346 0 18 Feb 2021
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 119 243 0 23 Dec 2020