Abstract: Detecting anomalies in link streams that represent various kinds of interactions is an important research topic with crucial applications. Because of the lack of ground truth data, proposed ...
Abstract: This paper proposes a novel two-level spatial–temporal graph neural network (TL-STGNN) architecture for the detection of vegetation-induced high-impedance faults (VHIFs) in power ...
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