corail-research / learning-generic-csp
Representing CP problems as graphs
☆17Updated 2 months ago
Alternatives and similar repositories for learning-generic-csp:
Users that are interested in learning-generic-csp are comparing it to the libraries listed below
- ☆24Updated 3 years ago
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆40Updated 6 months ago
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆18Updated 3 months ago
- implementation of our IJCAI'24 paper "Cross-Problem Learning for Solving Vehicle Routing Problems".☆10Updated 6 months ago
- PARCO: Parallel AutoRegressive Combinatorial Optimization☆18Updated 4 months ago
- ☆23Updated last year
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆31Updated 6 months ago
- [AAMAS 2025] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems☆19Updated last month
- Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (NeurIPS 2022)☆20Updated 2 years ago
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆62Updated 2 weeks ago
- ☆21Updated 2 years ago
- ☆40Updated 2 weeks ago
- ☆35Updated last year
- ☆15Updated last month
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆48Updated last year
- ☆25Updated last year
- The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)☆11Updated 10 months ago
- ☆14Updated last year
- Source code associated with the paper "Deep Learning for Data-Driven Districting-and-Routing", authored by A. Ferraz, Q. Cappart, and T. …☆24Updated 6 months ago
- Official repository for GFACS☆28Updated 9 months ago
- ☆17Updated this week
- [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems☆19Updated last month
- codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"☆37Updated 2 years ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆61Updated last year
- ☆25Updated last year
- Learning a Latent Search Space for Routing Problems using Variational Autoencoders☆25Updated 3 years ago
- A benchmarking suite for maximum independent set solvers.☆49Updated last year
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆22Updated 3 months ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated last year
- ☆19Updated 2 years ago