MaxiBoether / mis-benchmark-frameworkLinks
A benchmarking suite for maximum independent set solvers.
☆51Updated last year
Alternatives and similar repositories for mis-benchmark-framework
Users that are interested in mis-benchmark-framework are comparing it to the libraries listed below
Sorting:
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆49Updated 3 years ago
- ☆159Updated last year
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆220Updated last year
- ☆43Updated 4 months ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆16Updated 2 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆100Updated 2 years ago
- ☆27Updated 4 years ago
- ☆35Updated 2 years ago
- Reinforcement Learning for Cut Selection☆11Updated 2 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆137Updated 3 years ago
- Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G wi…☆117Updated 5 years ago
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆34Updated 11 months ago
- ☆37Updated 6 years ago
- ☆23Updated last year
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆66Updated 2 years ago
- [ICLR 2023 spotlight] "On Representing Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, W…☆36Updated last year
- ☆11Updated 4 years ago
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆52Updated 2 years ago
- Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)☆380Updated 3 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆235Updated 4 years ago
- Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)☆43Updated last year
- ☆30Updated last year
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆28Updated 4 years ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated last year
- Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"☆22Updated 3 years ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆67Updated 2 months ago
- Supporting code for "Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration".☆14Updated 3 years ago
- codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"☆42Updated 2 years ago
- Representing CP problems as graphs☆19Updated 8 months ago