Too many digital twin initiatives stall after the pilot phase, failing to deliver real business impact. Without a trusted data foundation, companies risk costly downtime, inaccurate predictions, and ...
Abstract: In this paper, we propose a novel graph signal processing convolution recurrent network (GSP CRN) for signal enhancement against high suppressive interference (HSI) in wireless ...
Abstract: We investigate graph convolution networks with efficient learning from higher-order graph convolutions and direct learning from adjacency matrices for node classification. We revisit the ...