Thinklab-SJTU / T2TCO
[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
☆53Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for T2TCO
- ☆39Updated 5 months ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆169Updated 2 months ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆55Updated last year
- ☆25Updated 9 months ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆41Updated last year
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆38Updated 3 months ago
- [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"☆50Updated 3 months ago
- Official repository for GFACS☆24Updated 6 months ago
- Implementation of our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graph…☆20Updated 3 weeks ago
- code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem☆39Updated 6 months ago
- ☆21Updated 9 months ago
- ☆34Updated this week
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆27Updated last month
- Implementation code for NeurIPS 2024 paper: "Learning to Handle Complex Constraints for Vehicle Routing Problems"☆15Updated this week
- Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…☆21Updated 6 months ago
- PARCO: Parallel AutoRegressive Combinatorial Optimization☆17Updated last month
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆52Updated last month
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆73Updated last week
- Predict and search framework for MilP☆46Updated 2 years ago
- ☆21Updated last year
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆52Updated last year
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆32Updated 2 months ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated 11 months ago
- Official implementation of paper "Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Sc…☆13Updated 4 months ago
- ☆30Updated 2 years ago
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆17Updated 2 weeks ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆93Updated last year
- ☆20Updated last year
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆24Updated 3 months ago
- ☆34Updated last year