Stalence / erdos_neuLinks
Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"
☆51Updated 3 years ago
Alternatives and similar repositories for erdos_neu
Users that are interested in erdos_neu are comparing it to the libraries listed below
Sorting:
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆28Updated 4 years ago
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆81Updated 5 years ago
- ☆45Updated 8 months ago
- A benchmarking suite for maximum independent set solvers.☆53Updated last year
- Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G wi…☆119Updated 6 years ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆66Updated 2 years ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆236Updated last year
- ☆36Updated 2 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆103Updated 2 years ago
- ☆23Updated last year
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated 2 years ago
- Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)☆238Updated 4 years ago
- ☆26Updated 4 years ago
- ☆161Updated last year
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆139Updated 3 years ago
- ☆32Updated last year
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆56Updated 2 years ago
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆35Updated last year
- the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning☆10Updated 2 years ago
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆155Updated last year
- ☆163Updated 6 years ago
- Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)☆33Updated 5 years ago
- ☆12Updated 4 years ago
- Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Sessi…☆329Updated 3 years ago
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆17Updated 3 years ago
- ☆22Updated 3 years ago
- ☆38Updated 6 years ago
- Learning to Perform Local Rewriting for Combinatorial Optimization☆154Updated 6 years ago
- Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"☆23Updated 3 years ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆69Updated 6 months ago