10 papers
Advanced Quantum Annealing for the Bi-Objective Traveling Thief Problem: An -Constraint-based Approach
Nguyen Hoang Viet, Nguyen Xuan Tung, Trinh Van Chien +1
This paper addresses the Bi-Objective Traveling Thief Problem (BI-TTP), a challenging multi-objective optimization problem that requires the simultaneous optimization of travel cos…
Scalable Quantum Message Passing Graph Neural Networks for Next-Generation Wireless Communications: Architectures, Use Cases, and Future Directions
Le Tung Giang, Nguyen Xuan Tung, Trinh Van Chien +2
Graph Neural Networks (GNNs) are eminently suitable for wireless resource management, thanks to their scalability, but they still face computational challenges in large-scale, dens…
D2D Power Allocation via Quantum Graph Neural Network
Tung Giang Le, Xuan Tung Nguyen, Won-Joo Hwang
Increasing wireless network complexity demands scalable resource management. Classical GNNs excel at graph learning but incur high computational costs in large-scale settings. We p…
Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning
Le Tung Giang, Vu Hoang Viet, Nguyen Xuan Tung +2
The vehicle routing problem (VRP) is a fundamental NP-hard task in intelligent transportation systems with broad applications in logistics and distribution. Deep reinforcement lear…
Graph Neural Networks for Next-Generation-IoT: Recent Advances and Open Challenges
Nguyen Xuan Tung, Le Tung Giang, Bui Duc Son +4
Graph Neural Networks (GNNs) have emerged as a powerful framework for modeling complex interconnected systems, hence making them particularly well-suited to address the growing cha…
Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction
Seon-Geun Jeong, Kyeong-Hwan Moon, Won-Joo Hwang
Protein-ligand binding affinity is critical in drug discovery, but experimentally determining it is time-consuming and expensive. Artificial intelligence (AI) has been used to pred…