Thinklab-SJTU / NAR-CO-Solver

Related projects ⓘ

Alternatives and complementary repositories for NAR-CO-Solver

• Thinklab-SJTU / ROCO
  Implementation of our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graph…
  ☆20Updated last month
• DIMESTeam / DIMES
  ☆39Updated 5 months ago
• LOGO-CUHKSZ / ASP
  ☆22Updated 9 months ago
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆55Updated last year
• jiang-yuan / Learning-routing-DRO
  ☆19Updated 2 years ago
• Thinklab-SJTU / T2TCO
  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
  ☆53Updated 3 months ago
• ahottung / CVAE-Opt
  Learning a Latent Search Space for Routing Problems using Variational Autoencoders
  ☆25Updated 3 years ago
• kaist-silab / meta-sage
  [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…
  ☆10Updated 11 months ago
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆24Updated 3 months ago
• lyeskhalil / mipGNN
  ☆21Updated 3 years ago
• facebookresearch / CL-LNS
  Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
  ☆35Updated last year
• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆46Updated 2 years ago
• WXY1427 / Learn-LNS-policy
  ☆30Updated 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
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆41Updated last year
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆13Updated 3 weeks ago
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆52Updated last month
• alstn12088 / Sym-NCO
  ☆25Updated 9 months ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆44Updated 2 years ago
• yining043 / NeuOpt
  This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…
  ☆38Updated 4 months ago
• Pointerformer / Pointerformer
  Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
  ☆28Updated 2 years ago
• jieyibi / PIP-constraint
  Implementation code for NeurIPS 2024 paper: "Learning to Handle Complex Constraints for Vehicle Routing Problems"
  ☆15Updated this week
• lascavana / rl2branch
  ☆15Updated last month
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆23Updated 8 months ago
• alstn12088 / LCP
  ☆20Updated last year
• liujl11git / GNN-MILP
  [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…
  ☆37Updated last year
• Thinklab-SJTU / LinSATNet
  Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".
  ☆52Updated 7 months ago
• google-deepmind / neural_lns
  ☆40Updated 2 years ago
• yunzhuangshen / PB-DFS
  ☆12Updated 3 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)
  ☆32Updated 3 years ago