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RiskAdversarial GNN-DRL framework for Robust communication in hostile MANET environmentsMobile ad hoc networks (MANETs) operating in hostile environments are vulnerable to coordinated wireless, routing, trust, and topology attacks. This paper proposes a tri-level
adversarial GNN–DRL... Author: Hoan Tran Quoc Keyword: Mobile ad-hoc networks Adversarial graph neural networks Trust-aware graph recovery Hierarchical deep reinforcement learning Self-play learning.
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Mobility-Predictive Graph Neural Routing for Delay-Constrained FANETs in Dynamic 3D AirspaceRapid three-dimensional mobility in flying ad hoc networks (FANETs) causes routes selected from the current topology to become invalid before packets reach subsequent hops, particularly for flows with... Author: Ha Dien Thi Hong Keyword: FANET routing mobility prediction temporal graph neural network deadline-constrained routing uncertainty calibration
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Machine learning-based methods for supporting fake news detectionIn the context of rapidly disseminating online information, fake news has emerged as a serious threat to information security and public trust. Traditional detection methods based on content analysis... Author: Anh Tran Thi Lan Keyword: Fake news detection hypergraph neural networks machine learning graph-based models HGFND
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Distributed graph neural network-based anti-jamming for scalable and energy-constrained IoT networksThis paper presents a distributed graph neural network (GNN) framework for anti-jamming in large-scale IoT systems with dynamic interference and strict energy constraints. The proposed approach... Author: Hue Tran Thi Keyword: Distributed graph neural networks Anti-jamming communications Internet of Things Energy-efficient networking Scalable wireless networks
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GNN-enhanced multi-agent DRL for adaptive anti-jamming routing in MANETsThis paper proposes a GNN-enhanced multi-agent deep reinforcement learning framework for antijamming routing in mobile ad hoc networks. The approach combines temporal graph representations with... Author: Hanh Vu My, Oanh Le Thi Kieu Keyword: MANET Anti-jamming Graph Neural Networks (GNN) Multi-Agent Reinforcement Learning (MARL) Adversarial Learning
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Joint power control and spectrum access optimization in FANET via reinforcement learningThis paper studies joint power control and spectrum access in dynamic flying ad hoc networks (FANETs) under co-channel interference and adaptive jamming. We propose a graph neural network-aided... Author: Dung Nguyen Thi Keyword: FANET Multi-agent reinforcement learning Graph neural networks Anti-jamming Resource optimization
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