We propose LinGCN Framework for structural Linearizated Graph Convolution Network for homomorphically encrypted inference accelerating.. Differentiable structural linearization, LinGCN proposed a ...

Knowledge graph (KG) question generation (QG) aims to generate natural language questions from KGs and target answers. Previous works mostly focus on a simple setting that is to generate questions ...

Abstract: This paper proposes a Graph Neural Network (GNN) model for fault location in distribution grids to increase the situational awareness in distribution grid monitoring. The proposed model uses ...