zhaoyu-li / NSNetLinks
[NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"
☆18Updated 2 years ago
Alternatives and similar repositories for NSNet
Users that are interested in NSNet are comparing it to the libraries listed below
Sorting:
- G2SAT: Learning to Generate SAT Formulas☆49Updated 5 years ago
- Using GNN and DQN to find a baetter branching heuristic for a CDCL Solver☆52Updated 4 years ago
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆22Updated 2 years ago
- Learning local search heuristics for Boolean satisfiability☆37Updated last year
- [TMLR 2024] G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks☆35Updated last year
- Official Repository for the ICLR 2022 paper "Generalization of Neural Combinatorial Solvers through the Lens of Adversarial Robustness"☆14Updated 2 years ago
- PyTorch implementation of NeuroSAT☆28Updated 2 years ago
- Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…☆20Updated 8 months ago
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆32Updated 9 months ago
- [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime☆22Updated 3 months ago
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆16Updated 2 years ago
- ☆16Updated 7 months ago
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆51Updated last week
- Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generatio…☆13Updated 6 months ago
- Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"☆33Updated 3 years ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆49Updated 3 years ago
- A benchmarking suite for maximum independent set solvers.☆51Updated last year
- the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning☆9Updated 2 years ago
- ☆9Updated 2 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆27Updated 4 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
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆63Updated 2 weeks ago
- 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
- ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.☆17Updated last month
- Official implementation of ICLR 2025 paper: "Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design S…☆36Updated last month
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆206Updated 10 months ago
- Graph Neural Network architecture to solve the decision version of the graph coloring problem (GCP)☆25Updated 5 years ago
- ☆24Updated 4 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆135Updated 2 years ago