3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Optimizing Job Allocation using Reinforcement Learning with Graph Neural Networks
Lars C. P. M. Quaedvlieg
Efficient job allocation in complex scheduling problems poses significant challenges in real-world applications. In this report, we propose a novel approach that leverages the powe…
cs.LG2023★ 3 cited
Maximum Independent Set: Self-Training through Dynamic Programming
Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis +2
This work presents a graph neural network (GNN) framework for solving the maximum independent set (MIS) problem, inspired by dynamic programming (DP). Specifically, given a graph,…