Graph-COM / DIG_MILPLinks
The official implementation of DIG-MILP
☆14Updated 2 years ago
Alternatives and similar repositories for DIG_MILP
Users that are interested in DIG_MILP are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆56Updated 2 years ago
- ☆26Updated 4 years ago
- ☆26Updated 2 years ago
- Multi-task end-to-end predict-then-optimize☆13Updated 2 years ago
- ☆23Updated 2 years ago
- Neur2SP: Neural Two-Stage Stochastic Programming☆53Updated 2 years ago
- [ICLR 2023 spotlight] "On Representing Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, W…☆37Updated 4 months ago
- Predict and search framework for MilP☆66Updated 3 years ago
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆21Updated last year
- This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …☆70Updated 10 months ago
- ☆32Updated last year
- ☆12Updated 4 years ago
- ☆27Updated 2 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆32Updated last year
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆139Updated 3 years ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆51Updated 4 years ago
- ☆10Updated last year
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆66Updated 2 years ago
- PyTorch utilities for Optimal Power Flow☆27Updated 10 months ago
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆41Updated 10 months ago
- Learning to Branch in Mixed Integer Linear Programming with Graph Convolutional Neural Networks in Ecole☆21Updated 3 years ago
- ☆21Updated 4 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆35Updated 4 years ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆70Updated 7 months ago
- Learning-to-Optimize for Mixed-Integer Non-Linear Programming☆61Updated 2 months ago
- General neural ODE and DAE modules for power system dynamic modeling.☆55Updated 2 years ago
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆48Updated last year
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆35Updated last year
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆51Updated 3 years ago
- ☆46Updated 9 months ago