A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs

9 June 2021

Papers citing "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs"

7 / 7 papers shown

Title
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks Runzhong Wang Yang Li Junchi Yan Xiaokang Yang AI4CE 42 0 0 06 Sep 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks Runzhong Wang Yunhao Zhang Ziao Guo Tianyi Chen Xiaokang Yang Junchi Yan 24 15 0 18 Jul 2024
Automatic MILP Solver Configuration By Learning Problem Similarities Abdelrahman I. Hosny Sherief Reda 30 4 0 02 Jul 2023
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems Ruizhong Qiu Zhiqing Sun Yiming Yang 43 77 0 08 Oct 2022
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction Jan Tonshoff Berke Kisin Jakob Lindner Martin Grohe GNN 16 22 0 22 Aug 2022
Neural Topological Ordering for Computation Graphs Mukul Gagrani Corrado Rainone Yang Yang Harris Teague Wonseok Jeon H. V. Hoof Weizhen Zeng P. Zappi Chris Lott Roberto Bondesan 32 12 0 13 Jul 2022
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning Cong Zhang Wen Song Zhiguang Cao Jie M. Zhang Puay Siew Tan Chi Xu 60 299 0 23 Oct 2020