MIRALab-USTC / L2O-G2MILPLinks
This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.
☆35Updated last year
Alternatives and similar repositories for L2O-G2MILP
Users that are interested in L2O-G2MILP are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆68Updated 5 months ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆231Updated last year
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆45Updated last year
- ☆23Updated last year
- Predict and search framework for MilP☆62Updated 3 years ago
- Recent research papers about Foundation Models for Combinatorial Optimization☆424Updated this week
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆53Updated 2 years ago
- ☆45Updated 7 months ago
- ☆12Updated 4 years ago
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆65Updated 2 years ago
- Evolution of Heuristics☆242Updated 2 months ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆50Updated 3 years ago
- ☆27Updated 4 years ago
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆98Updated 10 months ago
- ☆34Updated 3 years ago
- code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem☆57Updated last year
- ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.☆34Updated 3 weeks ago
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆71Updated this week
- Neural Combinatorial Optimization☆81Updated 3 weeks ago
- [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution☆224Updated this week
- ☆32Updated last year
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆40Updated 8 months ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆239Updated 4 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆103Updated 2 years ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated last year
- A benchmarking suite for maximum independent set solvers.☆53Updated last year
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆80Updated 6 months ago
- ☆73Updated this week
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆88Updated 6 months ago
- A Collection on Large Language Models for Optimization☆312Updated last month