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

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 ...

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 ...