Graph-COM / CO_ProxyDesign
The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
☆15Updated last year
Related projects: ⓘ
- A benchmarking suite for maximum independent set solvers.☆43Updated 7 months ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆42Updated 2 years ago
- ☆38Updated 2 months ago
- ☆22Updated 3 years ago
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆26Updated 7 months ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆13Updated 2 months ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆49Updated last year
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆48Updated last month
- ☆18Updated 7 months ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated 9 months ago
- Implementation of our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graph…☆19Updated last year
- Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)☆18Updated 3 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆25Updated 3 years ago
- ☆25Updated 7 months ago
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆18Updated last year
- ☆10Updated last year
- ☆32Updated last year
- A learnable Meta Optimizer for Combinatorial Optimization☆10Updated 7 months ago
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆29Updated 2 months ago
- ☆21Updated 3 years ago
- Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"☆32Updated 2 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆22Updated 6 months ago
- ☆11Updated 9 months ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆30Updated last year
- ☆13Updated last year
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆33Updated 3 years ago
- [NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"☆18Updated last year
- Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".☆38Updated 5 months ago
- Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".☆20Updated last year
- ☆12Updated 3 years ago