Graph-COM / DIG_MILP
The official implementation of DIG-MILP
☆14Updated last year
Alternatives and similar repositories for DIG_MILP:
Users that are interested in DIG_MILP are comparing it to the libraries listed below
- ☆26Updated 3 years ago
- This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …☆39Updated last month
- Neur2SP: Neural Two-Stage Stochastic Programming☆47Updated 2 years ago
- Predict and search framework for MilP☆52Updated 2 years ago
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆48Updated last year
- ☆23Updated last year
- ☆11Updated 3 years ago
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆31Updated 7 months ago
- ☆24Updated last year
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆37Updated 8 months ago
- ☆26Updated 5 months ago
- Multi-task end-to-end predict-then-optimize☆12Updated 2 years ago
- Learning-to-Optimize for Mixed-Integer Non-Linear Programming☆32Updated last month
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆50Updated 3 years ago
- Reinforcement Learning for Cut Selection☆11Updated 2 years ago
- OptiChat: Explaining Optimization Models Using LLMs☆22Updated 2 weeks ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆62Updated 3 months ago
- Adaptive Cut Selection in Mixed-Integer Linear Programming☆13Updated last year
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆20Updated 11 months ago
- ☆25Updated last year
- [ICLR 2023 spotlight] "On Representing Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, W…☆35Updated last year
- [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut☆21Updated last year
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆49Updated 3 years ago
- ☆31Updated 2 years ago
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆67Updated 3 years ago
- ☆10Updated last year
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆64Updated last year
- The MIP Workshop 2023 Computational Competition☆41Updated last year
- ☆46Updated 3 years ago
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆40Updated 7 months ago