machine-reasoning-ufrgs / GNN-GCP

Related projects: ⓘ

• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆42Updated 2 years ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆93Updated last year
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆25Updated 3 years ago
• facebookresearch / CL-LNS
  Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
  ☆34Updated last year
• Graph-COM / CO_ProxyDesign
  The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
  ☆15Updated last year
• machine-reasoning-ufrgs / TSP-GNN
  Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G wi…
  ☆114Updated 4 years ago
• BeloborodovDS / SIMCIM-RL
  Reinforcement Learning Enhanced Quantum-inspired Algorithm for Combinatorial Optimization
  ☆13Updated 4 years ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆79Updated 3 years ago
• DIMESTeam / DIMES
  ☆38Updated 2 months ago
• aurelienbibaut / DQN_MVC
  Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)
  ☆31Updated 6 years ago
• chaitjo / learning-paradigms-for-tsp
  Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
  ☆31Updated 3 years ago
• mit-wu-lab / learning-to-configure-separators
  [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut
  ☆15Updated 6 months ago
• omargup / neural_combinatorial_optimization
  A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.
  ☆13Updated 4 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 last year
• RomeoV / ml4co-competition
  Winner of NeurIPS 2021 student leaderboard. Self-bootstrapping bayesian optimization for SCIP configuration using GNNs.
  ☆13Updated last year
• xuzijian629 / combopt-zero
  A reinforcement learning based solver for combinatorial problems
  ☆40Updated 2 years ago
• Thinklab-SJTU / LinSATNet
  Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".
  ☆38Updated 5 months ago
• fychen32 / MolHGCN
  ☆14Updated this week
• lyeskhalil / CORL
  ☆23Updated 2 years ago
• XzrTGMu / twin-nphard
  Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
  ☆8Updated 6 months ago
• LOGO-CUHKSZ / ASP
  ☆18Updated 7 months ago
• udeshmg / GTA-RL
  Attention based model for learning to solve different routing problems
  ☆36Updated 2 years ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆49Updated last year
• davidireland3 / LeNSE
  ☆13Updated last year
• MaxiBoether / mis-benchmark-framework
  A benchmarking suite for maximum independent set solvers.
  ☆43Updated 7 months ago
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 4 years ago
• isl-org / NPHard
  Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
  ☆151Updated 2 weeks ago
• MIRALab-USTC / L2O-G2MILP
  This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.
  ☆26Updated 7 months ago
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆147Updated last week
• alexnowakvila / QAP_pt
  ☆28Updated 4 years ago