Alternatives and similar repositories for ANYCSP:

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

• lyeskhalil / mipGNN
  ☆26Updated 3 years ago
• Stalence / erdos_neu
  Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
  ☆49Updated 2 years ago
• MaxiBoether / mis-benchmark-framework
  A benchmarking suite for maximum independent set solvers.
  ☆50Updated last year
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆63Updated last year
• MIRALab-USTC / L2O-G2MILP
  This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.
  ☆30Updated 6 months ago
• yunzhuangshen / PB-DFS
  ☆11Updated 3 years ago
• radoslav11 / SP-MPNN
  Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".
  ☆25Updated 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".
  ☆98Updated 2 years ago
• Graph-COM / CO_ProxyDesign
  The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
  ☆15Updated 2 years ago
• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆40Updated 6 months ago
• haotang1995 / IterGNN
  Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)
  ☆18Updated 4 years ago
• Thinklab-SJTU / ACM-MILP
  Code for our paper: ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generatio…
  ☆12Updated 3 months ago
• JiazhengZhang / NIRM
  NIRM: Dismantling Complex Networks by a Neural Model Trained from Tiny Networks
  ☆12Updated 2 years ago
• qcappart / learning-DD
  Implementation of the paper "Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning".
  ☆25Updated 5 years ago
• danilonumeroso / conar
  Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`
  ☆17Updated last year
• amazon-science / co-with-gnns-example
  ☆154Updated last year
• FFrankyy / DIRAC
  Deep reinforcement learning for spIn-glass gRound stAte Calculation
  ☆20Updated last year
• 1QB-Information-Technologies / COOL
  Controlled Online Optimization Learning (COOL): Finding the Ground State of Spin Hamiltonians with Reinforcement Learning (arXiv:2003.000…
  ☆12Updated 4 years ago
• davidireland3 / LeNSE
  ☆14Updated 2 years ago
• amazon-science / gcp-with-gnns-example
  ☆14Updated 2 years ago
• Yiminghh / VertexEntanglement
  ☆13Updated last year
• instadeepai / memento
  Official Implementation of Memento
  ☆18Updated 5 months 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…
  ☆35Updated last year
• avrech / learning2cut
  Reinforcement Learning for Cut Selection
  ☆11Updated 2 years ago
• mhnnunes / nas_gnn
  Code for paper: Neural Architecture Search in Graph Neural Networks (BRACIS 2020)
  ☆18Updated last year
• Thinklab-SJTU / PredictiveCO-Benchmark
  [NeurIPS 2024 Datasets and Benchmarks Track] Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
  ☆19Updated 3 weeks ago
• Thinklab-SJTU / T2TCO
  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
  ☆62Updated 2 months ago
• LOGO-CUHKSZ / ASP
  ☆23Updated last year
• ml-jku / DIffUCO
  ☆44Updated last month
• DIMESTeam / DIMES
  ☆42Updated 2 months ago