Abstract: Graph neural networks (GNNs) with unsupervised learning can provide high-quality approximate solutions to large-scale combinatorial optimization problems (COPs) with efficient time ...
Abstract: Graph coloring is a well-known combinatorial optimization problem with broad applications in network security, scheduling, and register allocation. Being an NP-hard problem, exact solutions ...
np-complete-program-solver/ ├── src/ │ ├── problems/ # NP-complete 문제 정의 │ ├── solvers/ # 다양한 솔버 구현 │ │ ├── traditional/ # 전통적 알고리즘 │ │ ├── ml/ # 머신러닝 기반 ...
Client-Aware RRM System combining Advanced Network Simulation, Graph Neural Networks, Safe Reinforcement Learning, and Bayesian Optimization to optimize Enterprise WiFi performance through ...
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