Abstract: Knowledge graph construction is aimed at storing and representing the knowledge of the objective world in a structured form. Existing methods for automatic construction of knowledge graphs ...

Abstract: For the classification of hyperspectral images (HSIs), most deep learning networks are data-driven and lack the usage of prior knowledge. In this letter, we propose a knowledge graph-guided ...

A deep learning system that uses Graph Attention Networks (GAT) and LSTM to predict volatility spillovers across the Electric Vehicle supply chain by modeling real supplier relationships extracted ...

Welcome! kg-gen helps you extract knowledge graphs from any plain text using AI. It can process both small and large text inputs, and it can also handle messages in a conversation format. Why generate ...

It’s that time of the year when PBS News Hour invites two of our regular literary critics, Ann Patchett and Maureen Corrigan, to highlight their favorite books of the year. Jeffrey Brown picks up the ...