Lists (1)
Stars
The code implementation for "Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation"
This is adding edge and normalization tricks for basic GNN models. The source code for the paper ``Rethinking Graph Neural Networks from a Geometric Perspective of Node Features'', ICLR 2025.
Neur2SP: Neural Two-Stage Stochastic Programming
Source code for the experiments in the paper "Slight Stochastic Shifts Suffice: Cross-Trajectory Vectorized Estimation of Simulation Gradients", accepted at ACM SIGSIM PADS'25
[ICLR 2026] Neural Combinatorial Optimization for Real-World Routing
NVIDIA cuOpt examples for decision optimization
PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization
[TMLR 2025 + ICML 2024 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
[AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
Awesome machine learning for combinatorial optimization papers.
This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", which has been accepted at NeurIPS 2023.
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Attention based model for learning to solve different routing problems
Recent research papers about Foundation Models for Combinatorial Optimization
[ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets".
Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.
[ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
[NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing