ml-jku / VAG-CO
☆11Updated last year
Alternatives and similar repositories for VAG-CO:
Users that are interested in VAG-CO are comparing it to the libraries listed below
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆13Updated 8 months ago
- ☆43Updated last month
- Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024☆12Updated last year
- ☆10Updated 2 years ago
- Official Implementation of Memento☆18Updated 4 months ago
- DISCS: The code base for the Benchmark for Discrete Sampling☆54Updated 7 months ago
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆18Updated 4 months ago
- The official implementation of Convergent Graph Solvers (CGS)☆21Updated 3 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆36Updated last year
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆13Updated 2 years ago
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆15Updated 2 years ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆17Updated last year
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 2 weeks ago
- [ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"☆19Updated 3 months ago
- ☆24Updated 3 weeks ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆62Updated last year
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- ☆14Updated 2 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- ☆22Updated 3 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- ☆17Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Investigate the speed of adaptation of structural causal models☆16Updated 4 years ago
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)☆17Updated last month
- ☆24Updated last year
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- ☆12Updated 2 years ago
- [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut☆21Updated last year
- SetToGraph paper repository☆22Updated 4 years ago