Graph-COM / DIG_MILPLinks
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
Sorting:
- Neur2SP: Neural Two-Stage Stochastic Programming☆49Updated 2 years ago
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆52Updated 2 years ago
- Multi-task end-to-end predict-then-optimize☆12Updated 2 years ago
- ☆28Updated 9 months ago
- ☆26Updated last year
- ☆23Updated last year
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆20Updated 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 …☆50Updated 6 months ago
- Predict and search framework for MilP☆59Updated 2 years ago
- ☆27Updated 4 years ago
- ☆20Updated 3 years ago
- Learning-to-Optimize for Mixed-Integer Non-Linear Programming☆41Updated last week
- ☆26Updated last year
- [ICLR 2023 spotlight] "On Representing Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, W…☆36Updated last year
- ☆11Updated 4 years ago
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆41Updated 11 months ago
- Machine Learning for Optimal Power Flow in PyTorch☆24Updated 6 months ago
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆38Updated 5 months ago
- ☆13Updated last year
- Learning to Branch in Mixed Integer Linear Programming with Graph Convolutional Neural Networks in Ecole