nasheydari / HypOpLinks
Hypergraph Neural Network-Based Combinatorial Optimization
☆90Updated last year
Alternatives and similar repositories for HypOp
Users that are interested in HypOp are comparing it to the libraries listed below
Sorting:
- JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.☆63Updated last week
- [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut☆22Updated last year
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆80Updated 5 months ago
- [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
- [TMLR 2025 + ICML 2024 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆98Updated 2 months ago
- Code for [ICML2025]``Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design``.☆64Updated 6 months ago
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆40Updated 7 months ago
- Representing CP problems as graphs☆19Updated 11 months ago
- [NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization☆32Updated 2 weeks ago
- Optimization Modeling Using mip Solvers and large language models☆224Updated 2 weeks ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆139Updated 3 years ago
- ☆160Updated last year
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆67Updated 2 years ago
- Large Language Model Evolutionary Algorithm☆77Updated last week
- Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.☆74Updated 2 weeks ago
- ☆27Updated 4 years ago
- multi-task learning for routing problem☆20Updated last year
- ☆60Updated last month
- This is the official repository of the AI for TSP competition at IJCAI 2021☆26Updated 3 years ago
- Population-Based Reinforcement Learning for Combinatorial Optimization☆82Updated last year
- Source code associated with the paper "Deep Learning for Data-Driven Districting-and-Routing", authored by A. Ferraz, Q. Cappart, and T. …☆26Updated 4 months ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆50Updated 4 years ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆227Updated last year
- [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing☆86Updated 3 years ago
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆45Updated last year
- ☆34Updated 3 years ago
- Predict and search framework for MilP☆61Updated 3 years ago
- TranSPormer: a transformer for the Travelling Salesman Problem☆25Updated last year
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆51Updated last year
- Next-generation scheduling problem solver based on GNNs and Reinforcement Learning☆72Updated 2 months ago