Alternatives and similar repositories for GCOMB

Users that are interested in GCOMB are comparing it to the libraries listed below

• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆49Updated 3 years ago
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆80Updated 4 years ago
• louisv123 / COLGE
  ☆37Updated 6 years ago
• aurelienbibaut / DQN_MVC
  Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)
  ☆33Updated 7 years ago
• SunQingYun1996 / Graph-Reinforcement-Learning-Papers
  A curated list of graph reinforcement learning papers.
  ☆72Updated 3 years ago
• triplej0079 / DeepIM
  ☆44Updated 2 years ago
• DIMESTeam / DIMES
  ☆42Updated 2 months ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆27Updated 4 years ago
• kage08 / graph_sample_rl
  Influence maximization in unknown social networks: Learning Policies for Effective Graph Sampling (official code repository)
  ☆29Updated 2 years ago
• 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…
  ☆116Updated 5 years ago
• MaxiBoether / mis-benchmark-framework
  A benchmarking suite for maximum independent set solvers.
  ☆51Updated last year
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆100Updated 2 years ago
• wondergo2017 / TSP-HAC
  Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"
  ☆22Updated 3 years ago
• qiang-ma / graph-pointer-network
  ☆162Updated 5 years ago
• facebookresearch / neural-rewriter
  Learning to Perform Local Rewriting for Combinatorial Optimization
  ☆151Updated 5 years ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆66Updated 2 years ago
• Graph-COM / Meta_CO
  the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning
  ☆9Updated 2 years ago
• neunms / Reinforcement-learning-on-graphs-A-survey
  This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.
  ☆185Updated 7 months ago
• Graph-COM / CO_ProxyDesign
  The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
  ☆16Updated 2 years ago
• lyeskhalil / CORL
  ☆25Updated 3 years ago
• MIRALab-USTC / L2O-G2MILP
  This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.
  ☆32Updated 9 months ago
• vthost / DAGNN
  A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong i…
  ☆132Updated last year
• chaitjo / learning-paradigms-for-tsp
  Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)
  ☆33Updated 4 years ago
• isl-org / NPHard
  Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search
  ☆154Updated 10 months ago
• hanxiongwei / L2O-Solver-Papers
  ☆11Updated 5 years ago
• Thinklab-SJTU / ROCO
  Official Implementation of Our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers…
  ☆20Updated 8 months ago
• ShengdingHu / GraphPolicyNetworkActiveLearning
  The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"
  ☆47Updated 4 years ago
• sungsoo-ahn / learning_what_to_defer
  ☆24Updated 4 years ago
• haotang1995 / IterGNN
  Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)
  ☆18Updated 4 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago