To address these challenges, this study proposes a novel graph-based generative methodology that effectively captures the uncertainties in power system measurements, enabling the learning of ...

Nowadays, the parallel processing of power-law graphs is one of the biggest challenges in the field of graph computation. The subgraph-centric programming model is a promising approach and has been ...