Thinklab-SJTU / ROCOLinks
Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs".
☆20Updated 7 months ago
Alternatives and similar repositories for ROCO
Users that are interested in ROCO are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime☆21Updated 2 months ago
- ☆42Updated last month
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆48Updated this week
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆63Updated 4 months ago
- Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generatio…☆12Updated 5 months ago
- ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.☆16Updated 2 weeks ago
- ☆26Updated last year
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆40Updated 8 months ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated last year
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆37Updated 2 months ago
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆21Updated last year
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆100Updated 2 years ago
- ☆23Updated last year
- the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning☆9Updated 2 years ago
- ☆31Updated 2 years ago
- Official implementation of ICLR 2025 paper: "Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design S…☆36Updated 2 weeks ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆26Updated 3 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆27Updated last year
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆31Updated 8 months ago
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆19Updated 6 months ago
- Dataset & models of RRNCO: Real-world Routing NCO☆16Updated 3 weeks ago
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆27Updated 2 months ago
- ☆21Updated 2 years ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆13Updated 10 months ago
- multi-task learning for routing problem☆20Updated 7 months ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆64Updated 2 years ago
- Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"☆33Updated 3 years ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆51Updated this week
- ☆34Updated 3 weeks ago
- ☆21Updated 3 years ago