zhaoyu-li / NSNet
[NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"
☆19Updated last year
Related projects ⓘ
Alternatives and complementary repositories for NSNet
- [TMLR 2024] G4SATBench: Benchmarking and Advancing SAT Solving with Graph Neural Networks☆32Updated 6 months ago
- Learning local search heuristics for Boolean satisfiability☆37Updated 6 months ago
- PyTorch implementation of NeuroSAT☆26Updated last year
- [SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline☆20Updated last year
- Official Repository for the ICLR 2022 paper "Generalization of Neural Combinatorial Solvers through the Lens of Adversarial Robustness"☆14Updated 2 years ago
- Using GNN and DQN to find a baetter branching heuristic for a CDCL Solver☆52Updated 4 years ago
- G2SAT: Learning to Generate SAT Formulas☆48Updated 4 years ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆44Updated 2 years ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆24Updated 3 years ago
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆27Updated last month
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆15Updated 2 years ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆53Updated 3 months ago
- ☆21Updated 9 months ago
- ☆39Updated 5 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
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆55Updated last year
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆32Updated 2 months ago
- Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"☆32Updated 3 years ago
- NeuroCore: Guiding CDCL with Unsat-Core Predictions☆43Updated 4 years ago
- The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…☆52Updated last year
- ☆22Updated 3 years ago
- A benchmarking suite for maximum independent set solvers.☆46Updated 9 months ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆93Updated last year
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆169Updated 2 months ago
- ☆10Updated last year
- Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".☆25Updated 4 years ago
- Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.☆13Updated 2 years ago
- ☆30Updated 2 years ago
- Graph Neural Network architecture to solve the decision version of the graph coloring problem (GCP)☆25Updated 4 years ago
- ☆12Updated 3 years ago