Dynamical Causal Graph Neural Network for EEG Emotion Recognition
Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for […]
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction
Cooperative multi-agent reinforcement learning (MARL) for navigation enables agents to cooperate to achieve their navigation goals. Using emergent communication, agents learn a […]
A Graph Neural Network Learning Approach to Optimize RIS-Assisted Federated Learning
Over-the-air federated learning (FL) is a promising privacy-preserving edge artificial intelligence paradigm, where over-the-air computation enables spectral-efficient model aggregation by achieving simultaneous […]