Thinklab-SJTU / PredictiveCO-BenchmarkLinks
[NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
☆23Updated 5 months ago
Alternatives and similar repositories for PredictiveCO-Benchmark
Users that are interested in PredictiveCO-Benchmark are comparing it to the libraries listed below
Sorting:
- Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generatio …☆13Updated 7 months ago
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆57Updated 3 weeks ago
- Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…☆20Updated 10 months ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆64Updated last month
- ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.☆21Updated 3 months ago
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆22Updated 2 years ago
- Official implementation of ICLR 2025 paper: "Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design S…☆39Updated 3 months ago
- Official implementation of Our NeurIPS 2024 Paper "Boundary Matters: A Bi-Level Active Finetuning Method"☆13Updated 6 months ago
- ☆11Updated last year
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆41Updated 11 months ago
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆16Updated 2 years ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆67Updated 2 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆14Updated last year
- ☆30Updated last year
- ☆42Updated 4 months ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated last year
- Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"☆33Updated 3 years ago
- [NeurIPS2024] Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization; [N…☆13Updated last month
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆37Updated 4 months ago
- Official repository for GFACS☆32Updated last year
- ☆11Updated 7 months ago
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆74Updated 2 months ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆100Updated 2 years ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆217Updated 11 months ago
- ☆15Updated 2 years ago
- ☆38Updated 3 months ago
- Dataset & models of RRNCO: Real-world Routing NCO☆17Updated last month
- This is the code of DiffILO, an unsupervised learning approach for predicting solutions to Integer Linear Programs (ILPs).☆21Updated 4 months ago
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆33Updated 10 months ago