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
  ☆152Updated last year
• lyeskhalil / mipGNN
  ☆24Updated 3 years ago
• haiguanl / RLCO-Papers
  Paper collection of reinforcement learning based combinatorial optimization
  ☆50Updated 4 years ago
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆52Updated 2 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆68Updated 3 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…
  ☆46Updated last year
• corail-research / learning-generic-csp
  Representing CP problems as graphs
  ☆18Updated 3 months ago
• ds4dm / ml4co-competition
  Machine Learning for Combinatorial Optimization - NeurIPS'21 competition
  ☆131Updated 2 years ago
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆64Updated last month
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆62Updated last year
• Edward-Sun / DIFUSCO
  Code of NeurIPS paper: arxiv.org/abs/2302.08224
  ☆191Updated 6 months ago
• nsidn98 / NICE
  Combining Reinforcement Learning with Integer Programming for Robust Scheduling
  ☆26Updated last year
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆80Updated 4 years ago
• Thinklab-SJTU / PPO-BiHyb
  Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
  ☆99Updated last year
• yining043 / NeuOpt
  This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…
  ☆42Updated 8 months ago
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆34Updated 7 months ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆40Updated 2 years ago
• ds4dm / learn2comparenodes
  Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)
  ☆21Updated 2 years ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆48Updated last year
• nasheydari / HypOp
  Hypergraph Neural Network-Based Combinatorial Optimization
  ☆86Updated 5 months ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆97Updated last year
• liujl11git / GNN-LP
  [ICLR 2023 spotlight] "On Representing Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, W…
  ☆32Updated last year
• mit-wu-lab / learning-to-configure-separators
  [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut
  ☆21Updated last year
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆49Updated 3 years ago
• naver / bq-nco
  ☆39Updated last year
• ANL-CEEESA / MIPLearn
  Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…
  ☆166Updated 3 months ago
• MaxiBoether / mis-benchmark-framework
  A benchmarking suite for maximum independent set solvers.
  ☆50Updated last year
• chaitjo / learning-tsp
  Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
  ☆222Updated 3 years ago
• Opt-Mucca / Adaptive-Cutsel-MILP
  Adaptive Cut Selection in Mixed-Integer Linear Programming
  ☆13Updated last year