liujl11git / GNN-MILP

Related projects ⓘ

Alternatives and complementary repositories for GNN-MILP

• sribdcn / Predict-and-Search_MILP_method
  Predict and search framework for MilP
  ☆46Updated 2 years ago
• ds4dm / branch-search-trees
  Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)
  ☆67Updated 3 years ago
• lyeskhalil / mipGNN
  ☆21Updated 3 years ago
• liujl11git / GNN-LP
  [ICLR 2023 spotlight] "On Representing Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, W…
  ☆27Updated 11 months ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆36Updated last year
• pg2455 / Hybrid-learn2branch
  Hybrid Models for Learning to Branch (NeurIPS 2020)
  ☆47Updated 3 years ago
• WXY1427 / Learn-LNS-policy
  ☆30Updated 2 years ago
• google-deepmind / neural_lns
  ☆40Updated 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
• ds4dm / learn2branch-ecole
  Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)
  ☆32Updated 2 months ago
• yunzhuangshen / PB-DFS
  ☆12Updated 3 years ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆41Updated last year
• LOGO-CUHKSZ / ASP
  ☆22Updated 9 months ago
• lascavana / rl2branch
  ☆15Updated last month
• naver / bq-nco
  ☆34Updated last year
• mouadmorabit / MLColumnSelection
  Machine-learning-based column selection
  ☆34Updated 2 years ago
• MIRALab-USTC / L2O-HEM-Torch
  The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li,…
  ☆52Updated last year
• tomdbar / eco-dqn
  Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
  ☆80Updated 4 years ago
• liangxinedu / NeuroLKH
  ☆70Updated 2 years ago
• khalil-research / RLCG
  ☆14Updated 2 years ago
• jiang-yuan / Learning-routing-DRO
  ☆19Updated 2 years ago
• jieyibi / AMDKD
  The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…
  ☆49Updated 5 months ago
• wouterkool / dpdp
  DPDP
  ☆95Updated last year
• Wenbo11 / learntocut
  Code implementation for NeurIPS 2019 submission 'Reinforcement Learning for Integer Programming: Learning to Cut'
  ☆35Updated 5 years ago
• DIMESTeam / DIMES
  ☆39Updated 5 months ago
• cwfparsonson / retro_branching
  Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
  ☆34Updated last year
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆36Updated 4 months ago
• liangxinedu / MDAM
  ☆48Updated 3 years ago
• mit-wu-lab / learning-to-delegate
  [NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing
  ☆79Updated 2 years ago
• Bill-CJB / NHDE
  ☆21Updated last year