Alternatives and similar repositories for GNN-for-Combinatorial-Optimization

Users that are interested in GNN-for-Combinatorial-Optimization are comparing it to the libraries listed below

• amazon-science / co-with-gnns-example
  ☆160Updated last year
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆137Updated 3 years ago
• ds4dm / ecole
  Extensible Combinatorial Optimization Learning Environments
  ☆355Updated 6 months ago
• lyeskhalil / mipGNN
  ☆27Updated 4 years ago
• liujl11git / GNN-MILP
  [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…
  ☆53Updated 2 years ago
• qcappart / hybrid-cp-rl-solver
  Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  ☆201Updated 5 years ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆101Updated 2 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆85Updated 3 years ago
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆50Updated 4 years ago
• instadeepai / poppy
  Population-Based Reinforcement Learning for Combinatorial Optimization
  ☆81Updated last year
• nasheydari / HypOp
  Hypergraph Neural Network-Based Combinatorial Optimization
  ☆90Updated last year
• NREL / graph-env
  Reinforcement learning for combinatorial optimization over directed graphs
  ☆42Updated 2 years ago
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆237Updated 4 years ago
• google-deepmind / neural_lns
  ☆49Updated 3 years ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆80Updated 5 years ago
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆45Updated last year
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆224Updated last year
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 4 years ago
• grimmlab / gumbeldore
  Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…
  ☆27Updated 7 months ago
• mit-wu-lab / learning-to-configure-separators
  [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut
  ☆22Updated last year
• ds4dm / learn2branch
  Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
  ☆387Updated 3 years ago
• cwfparsonson / retro_branching
  Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
  ☆34Updated 2 years ago
• instadeepai / compass
  COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search
  ☆41Updated last year
• yunzhuangshen / PB-DFS
  ☆12Updated 4 years ago
• dongjinkun / COPZoo
  Neural Combinatorial Optimization
  ☆73Updated this week
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆60Updated 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…
  ☆67Updated 2 years ago
• yd-kwon / SGBS
  codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"
  ☆42Updated 3 years ago
• xbresson / TSP_Transformer
  Code for TSP Transformer
  ☆192Updated 4 years ago
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆175Updated last month