lyeskhalil / mipGNNLinks
☆27Updated 4 years ago
Alternatives and similar repositories for mipGNN
Users that are interested in mipGNN 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…☆51Updated 2 years ago
- Predict and search framework for MilP☆58Updated 2 years ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆49Updated 4 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆136Updated 2 years ago
- Reinforcement Learning for Cut Selection☆11Updated 2 years ago
- Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)☆68Updated 4 years ago
- Neur2SP: Neural Two-Stage Stochastic Programming☆48Updated 2 years ago
- ☆23Updated last year
- [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing☆85Updated 3 years ago
- ☆33Updated 2 years ago
- ☆48Updated 3 years ago
- ☆11Updated 3 years ago
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆42Updated 11 months ago
- DPDP☆101Updated 2 years ago
- [ICLR 2023 spotlight] "On Representing Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, W…☆36Updated last year
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆382Updated 3 years ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- Extensible Combinatorial Optimization Learning Environments☆348Updated 3 months ago
- ☆40Updated last year
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆74Updated 3 weeks ago
- ☆132Updated 2 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆233Updated 3 years ago
- ☆11Updated 7 months ago
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆56Updated last year
- ☆18Updated 10 months ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆52Updated 2 months ago
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆33Updated 4 years ago
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆51Updated last year
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆100Updated 2 years ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆214Updated 11 months ago