tomdbar / ecord
Supporting code for "Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration".
☆13Updated 2 years ago
Alternatives and similar repositories for ecord:
Users that are interested in ecord are comparing it to the libraries listed below
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆61Updated last year
- Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".☆80Updated 4 years ago
- A benchmarking suite for maximum independent set solvers.☆49Updated 11 months ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆45Updated 2 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆96Updated last year
- ☆40Updated 6 months ago
- ☆35Updated last year
- This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.☆161Updated last month
- ☆23Updated 11 months ago
- ☆36Updated 5 years ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated last year
- The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'☆15Updated 2 years ago
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆29Updated 3 months ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆183Updated 4 months ago
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆34Updated 3 months ago
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆25Updated 3 years ago
- ☆22Updated 3 years ago
- ☆11Updated 3 years ago
- Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.☆34Updated last year
- Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem☆25Updated last year
- ☆146Updated 11 months ago
- Implementation of our ICLR 2023 paper "ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graph…☆20Updated 2 months ago
- ☆25Updated last year
- Reinforcement learning for combinatorial optimization over directed graphs☆39Updated last year
- Codes for AAAI22 paper "Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum"☆21Updated 2 years ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆58Updated 5 months ago
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆40Updated last year
- PARCO: Parallel AutoRegressive Combinatorial Optimization☆18Updated 3 months ago
- Efficient Active Search☆48Updated 2 years ago
- Official implementation of MAG-GNN: an RL-boosted graph learning framework.☆16Updated last year