Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
cs.LG, cs.AI, cs.DM, stat.ML
Submitted: 2023-05-26
Updated: 2026-08-28
Code: https://github.com/zdhNarsil/GFlowNet-CombOpt
Terminology
Sources
- DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
- Neural Combinatorial Optimization with Reinforcement Learning
- Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
- Solving Mixed Integer Programs Using Neural Networks
- Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes
- Stochastic Generative Flow Networks
- DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
- Annealed Training for Combinatorial Optimization on Graphs
- DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
- A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
- Unifying Generative Models with GFlowNets and Beyond
- Distributional GFlowNets with Quantile Flows
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