Alternatives and similar repositories for RUN-CSP

Users that are interested in RUN-CSP are comparing it to the libraries listed below

• JiaxuanYou / G2SAT
  G2SAT: Learning to Generate SAT Formulas
  ☆49Updated 5 years ago
• NVIDIA / GraphQSat
  Using GNN and DQN to find a baetter branching heuristic for a CDCL Solver
  ☆52Updated 5 years ago
• emreyolcu / sat
  Learning local search heuristics for Boolean satisfiability
  ☆37Updated last year
• microsoft / PDP-Solver
  PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers
  ☆41Updated 2 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆44Updated 5 years ago
• shyam196 / egc
  "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022
  ☆33Updated 3 years ago
• Yujun-Yan / Neural-Execution-Engines
  Code for Neural Execution Engines: Learning to Execute Subroutines
  ☆17Updated 4 years ago
• shi27feng / transformers.satisfy
  propositional satisfiability problem (SAT) goes neural and deep
  ☆13Updated 4 years ago
• ryanzhangfan / NeuroSAT
  PyTorch implementation of NeuroSAT
  ☆28Updated 2 years ago
• dselsam / neurocore-public
  NeuroCore: Guiding CDCL with Unsat-Core Predictions
  ☆46Updated 5 years ago
• shihui2010 / symbolic_simplifier
  PyTorch implementation for the Deep Symbolic Simplification Without Human Knowledge
  ☆14Updated 4 years ago
• isl-org / NPHard
  Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
  ☆155Updated last year
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆81Updated 4 years ago
• zhaoyu-li / NSNet
  [NeurIPS 2022] "NSNet: A General Neural Probabilistic Framework for Satisfiability Problems"
  ☆19Updated 2 years ago
• johannaSommer / generalization-neural-co-solvers
  Official Repository for the ICLR 2022 paper "Generalization of Neural Combinatorial Solvers through the Lens of Adversarial Robustness"
  ☆14Updated 2 years ago
• facebookresearch / LA-MCTS
  High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm
  ☆29Updated 3 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 3 years ago
• GFNOrg / EB_GFN
  Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
  ☆84Updated 2 years ago
• MaxiBoether / mis-benchmark-framework
  A benchmarking suite for maximum independent set solvers.
  ☆53Updated last year
• Graph-COM / CO_ProxyDesign
  The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
  ☆17Updated 3 years ago
• machine-reasoning-ufrgs / GNN-GCP
  Graph Neural Network architecture to solve the decision version of the graph coloring problem (GCP)
  ☆25Updated 5 years ago
• Shen-Lab / Bayesian-L2O
  [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…
  ☆14Updated 3 years ago
• cambridge-mlg / EinsumNetworks
  ☆53Updated 2 years ago
• SwiftieH / IGNN
  Implicit Graph Neural Networks
  ☆64Updated 4 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆37Updated 5 years ago
• hadarser / SetToGraphPaper
  SetToGraph paper repository
  ☆22Updated 5 years ago
• a-norcliffe / sonode
  Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
  ☆59Updated last year
• danilonumeroso / conar
  Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`
  ☆20Updated last year
• google-deepmind / digraph_transformer
  ☆121Updated 2 years ago
• aoiang / LaMOO
  ☆29Updated 3 years ago