2026
GRAPH NEURAL NETWORKS IN LARGE SCALE WIRELESS COMMUNICATION NETWORKS: SCALABILITY ACROSS RANDOM GEOMETRIC GRAPHS
ICASSP 2026poster
The growing complexity of wireless systems has accelerated the move from traditional methods to learning-based solutions. Graph Neural Networks (GNNs) are especially well-suited here, since wireless networks can be naturally represented as graphs. A key property of GNNs is transferability: models tr…