IEEE

Deep Reinforcement Learning Using Graph Conv-LSTM for Solving Multi-Objective Combinatorial ...

Abstract: This paper introduces MOGCL (Multi-Objective Graph Convolutional Long Short-Term Memory with Attention), a novel model that combines dynamic graph Convolutional Long Short-Term Memory ...
IEEE

Optimal graph design using a knowledge-driven multi-objective evolutionary graph algorithm

Abstract: Designing appropriate graphs is a problem frequently occurring in several common applications ranging from designing communication and transportation networks to discovering new drugs. More ...