emreyolcu / satLinks
Learning local search heuristics for Boolean satisfiability
☆37Updated last year
Alternatives and similar repositories for sat
Users that are interested in sat are comparing it to the libraries listed below
Sorting:
- Using GNN and DQN to find a baetter branching heuristic for a CDCL Solver☆52Updated 4 years ago
- PyTorch implementation of NeuroSAT☆28Updated 2 years ago
- NeuroCore: Guiding CDCL with Unsat-Core Predictions☆45Updated 5 years ago
- G2SAT: Learning to Generate SAT Formulas☆49Updated 4 years ago
- [NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"☆18Updated 2 years ago
- Official Repository for the ICLR 2022 paper "Generalization of Neural Combinatorial Solvers through the Lens of Adversarial Robustness"☆14Updated 2 years ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆49Updated 3 years ago
- Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".☆25Updated 5 years ago
- ☆9Updated 2 years ago
- A benchmarking suite for maximum independent set solvers.☆51Updated last year
- [TMLR 2024] G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks☆34Updated last year
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆26Updated 3 years ago
- ☆35Updated 2 years ago
- Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.☆13Updated 2 years ago
- NLocalSAT; Boosting Local Search with Solution Prediction☆18Updated last year
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- ☆24Updated 4 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆73Updated 3 years ago
- ☆28Updated 5 years ago
- PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers☆41Updated last year
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆154Updated 9 months ago
- Extending the Neural Graph Algorithm Executor☆13Updated 2 years ago
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆31Updated 8 months ago
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆16Updated 2 years ago
- ☆11Updated 3 years ago
- the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning☆9Updated 2 years ago
- ☆42Updated last month
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆100Updated 2 years ago
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆38Updated 9 months ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆17Updated last year