Thinklab-SJTU / ACM-MILP
Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
☆12Updated 2 months ago
Alternatives and similar repositories for ACM-MILP:
Users that are interested in ACM-MILP are comparing it to the libraries listed below
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆41Updated this week
- Official implementation of ICLR 2025 paper: "Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design S…☆32Updated 2 weeks ago
- [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime☆19Updated this week
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆20Updated last year
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆61Updated 2 months ago
- Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…☆20Updated 5 months ago
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆30Updated 5 months ago
- ☆41Updated last month
- 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…☆10Updated this week
- ☆23Updated last year
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆56Updated last year
- [NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"☆18Updated 2 years ago
- Awesome machine learning for temporal point processes papers.☆20Updated 2 years ago
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆39Updated 6 months ago
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆15Updated 2 years ago
- ☆25Updated last year
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆62Updated last year
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆49Updated 2 years ago
- ☆11Updated 3 years ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated last year
- A benchmarking suite for maximum independent set solvers.☆50Updated last year
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆191Updated 6 months ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆99Updated last year
- ☆31Updated 2 years ago
- ☆24Updated 3 years ago
- Reinforcement Learning for Cut Selection☆11Updated 2 years ago
- codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"☆37Updated 2 years ago
- Predict and search framework for MilP☆52Updated 2 years ago
- [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems☆21Updated last week