zdhNarsil / GFlowNet-CombOptLinks
PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets".
☆66Updated 2 years ago
Alternatives and similar repositories for GFlowNet-CombOpt
Users that are interested in GFlowNet-CombOpt are comparing it to the libraries listed below
Sorting:
- ☆46Updated 9 months ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆241Updated last year
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆70Updated 7 months ago
- Official repository for GFACS☆33Updated last year
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆41Updated 10 months ago
- ☆65Updated 4 months ago
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆21Updated last year
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆51Updated 3 years ago
- ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.☆39Updated 2 months ago
- COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search☆42Updated last year
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆28Updated 4 years ago
- ☆32Updated 2 years ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated 2 years ago
- [NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization☆38Updated 2 months ago
- codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"☆42Updated 3 years ago
- ☆28Updated 2 years ago
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆74Updated last month
- [AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems☆30Updated 2 months ago
- ☆43Updated 2 years ago
- ☆23Updated 2 years ago
- Population-Based Reinforcement Learning for Combinatorial Optimization☆87Updated last year
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆139Updated 3 years ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆14Updated last year
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆41Updated last year
- ☆14Updated last year
- [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing☆86Updated 4 years ago
- ☆23Updated 3 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
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆104Updated 2 years ago
- ☆43Updated 8 months ago